Index

_

__getitem__() (pomdp_py.framework.basics.Distribution method) (pomdp_py.framework.oopomdp.ObjectState method) (pomdp_py.framework.oopomdp.OOBelief method) (pomdp_py.framework.oopomdp.OOObservationModel method) (pomdp_py.framework.oopomdp.OOState method) (pomdp_py.framework.oopomdp.OOTransitionModel method) (pomdp_py.representations.distribution.gaussian.Gaussian method) (pomdp_py.representations.distribution.histogram.Histogram method) (pomdp_py.representations.distribution.particles.WeightedParticles method)

__setitem__() (pomdp_py.framework.basics.Distribution method) (pomdp_py.framework.oopomdp.ObjectState method) (pomdp_py.framework.oopomdp.OOBelief method) (pomdp_py.representations.distribution.gaussian.Gaussian method) (pomdp_py.representations.distribution.histogram.Histogram method) (pomdp_py.representations.distribution.particles.WeightedParticles method)

A

abstraction_over_histogram() (in module pomdp_py.representations.belief.histogram) abstraction_over_particles() (in module pomdp_py.representations.belief.particles) Action (class in pomdp_py.framework.basics) (class in pomdp_py.problems.multi_object_search.domain.action) (class in pomdp_py.problems.rocksample.rocksample_problem) action_prior (pomdp_py.algorithms.po_uct.POUCT attribute) ActionPrior (class in pomdp_py.algorithms.po_uct) ACTIONS (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerProblem attribute), [1], [2], [3] (pomdp_py.problems.tiger.tiger_problem.PolicyModel attribute) add() (pomdp_py.representations.distribution.particles.Particles method) (pomdp_py.representations.distribution.particles.WeightedParticles method) add_attr() (pomdp_py.framework.basics.Agent method) Agent (class in pomdp_py.framework.basics) all_actions (pomdp_py.framework.basics.Agent attribute) all_observations (pomdp_py.framework.basics.Agent attribute) all_states (pomdp_py.framework.basics.Agent attribute) AlphaVectorPolicy (class in pomdp_py.utils.interfaces.conversion) apply_transition() (pomdp_py.framework.basics.Environment method) approx_equal() (in module pomdp_py.utils.math) argmax() (pomdp_py.algorithms.po_uct.VNode method) (pomdp_py.framework.basics.BlackboxModel method) (pomdp_py.framework.basics.GenerativeDistribution method) (pomdp_py.framework.basics.ObservationModel method) (pomdp_py.framework.basics.PolicyModel method) (pomdp_py.framework.basics.RewardModel method) (pomdp_py.framework.basics.TransitionModel method) (pomdp_py.framework.oopomdp.OOObservationModel method) (pomdp_py.framework.oopomdp.OOTransitionModel method) (pomdp_py.problems.load_unload.load_unload.LUObservationModel method) (pomdp_py.problems.load_unload.load_unload.LUPolicyModel method) (pomdp_py.problems.load_unload.load_unload.LURewardModel method) (pomdp_py.problems.load_unload.load_unload.LUTransitionModel method) (pomdp_py.problems.multi_object_search.models.observation_model.ObjectObservationModel method) (pomdp_py.problems.multi_object_search.models.policy_model.PolicyModel method) (pomdp_py.problems.multi_object_search.models.reward_model.MosRewardModel method) (pomdp_py.problems.multi_object_search.models.transition_model.MosTransitionModel method) (pomdp_py.problems.multi_object_search.models.transition_model.RobotTransitionModel method) (pomdp_py.problems.multi_object_search.models.transition_model.StaticObjectTransitionModel method) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSObservationModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSPolicyModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSRewardModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSTransitionModel method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RSObservationModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSPolicyModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSRewardModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSTransitionModel method) (pomdp_py.problems.tag.models.observation_model.TagObservationModel method) (pomdp_py.problems.tag.models.transition_model.TagTransitionModel method) (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerObservationModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerPolicyModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerRewardModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerTransitionModel method), [1], [2], [3] (pomdp_py.utils.templates.DetRewardModel method)

B

b (pomdp_py.utils.debugging.TreeDebugger property), [1] b() (pomdp_py.framework.oopomdp.OOBelief method) back() (pomdp_py.utils.debugging.TreeDebugger method), [1] BACKWARD (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) BAD (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockType attribute), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockType attribute) bcolors (class in pomdp_py.utils.typ) belief (pomdp_py.algorithms.pomcp.RootVNodeParticles attribute) (pomdp_py.algorithms.pomcp.VNodeParticles attribute) (pomdp_py.framework.basics.Agent attribute) belief_update() (in module pomdp_py.problems.multi_object_search.problem) (in module pomdp_py.problems.tag.agent.agent) bestseq (pomdp_py.utils.debugging.TreeDebugger property), [1] bestseqd() (pomdp_py.utils.debugging.TreeDebugger method), [1]

blackbox_model (pomdp_py.framework.basics.Environment attribute) BlackboxModel (class in pomdp_py.framework.basics) BLQR (class in pomdp_py.algorithms.bsp.blqr), [1] BLUE (pomdp_py.utils.typ.bcolors attribute) blue() (in module pomdp_py.utils.typ) BOLD (pomdp_py.utils.typ.bcolors attribute) bold() (in module pomdp_py.utils.typ) bottomleft (pomdp_py.utils.misc.special_char attribute) bottomright (pomdp_py.utils.misc.special_char attribute) bottomt (pomdp_py.utils.misc.special_char attribute) build_actions() (in module pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] build_observations() (in module pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] build_setting() (in module pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] build_states() (in module pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3]

C

c (pomdp_py.utils.debugging.TreeDebugger property), [1] CheckAction (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) children (pomdp_py.algorithms.po_uct.TreeNode attribute) clear (pomdp_py.utils.debugging.TreeDebugger property), [1] clear_agent() (pomdp_py.algorithms.po_rollout.PORollout method) (pomdp_py.algorithms.po_uct.POUCT method) clear_history() (pomdp_py.problems.multi_object_search.agent.agent.MosAgent method) (pomdp_py.problems.tag.agent.agent.TagAgent method) condense() (pomdp_py.representations.distribution.particles.WeightedParticles method) const (pomdp_py.problems.light_dark.env.env.LightDarkEnvironment property)

construct() (pomdp_py.utils.interfaces.conversion.AlphaVectorPolicy class method) (pomdp_py.utils.interfaces.conversion.PolicyGraph class method) copy() (pomdp_py.framework.oopomdp.ObjectState method) (pomdp_py.framework.oopomdp.OOState method) cov (pomdp_py.representations.distribution.gaussian.Gaussian attribute) covariance (pomdp_py.representations.distribution.gaussian.Gaussian attribute) create() (pomdp_py.problems.tiger.tiger_problem.TigerProblem static method) create_instance() (in module pomdp_py.problems.rocksample.rocksample_problem) create_plan() (pomdp_py.algorithms.bsp.blqr.BLQR method), [1] cur_state (pomdp_py.framework.basics.Environment attribute) CYAN (pomdp_py.utils.typ.bcolors attribute) cyan() (in module pomdp_py.utils.typ)

D

d (pomdp_py.utils.debugging.TreeDebugger property), [1] depth (pomdp_py.utils.debugging.TreeDebugger property), [1] det_dict_hash() (in module pomdp_py.utils.cython_utils) DetObservationModel (class in pomdp_py.utils.templates) DetRewardModel (class in pomdp_py.utils.templates) DetTransitionModel (class in pomdp_py.utils.templates) DictState (class in pomdp_py.framework.oopomdp) disable() (pomdp_py.utils.typ.bcolors static method)

discount_factor (pomdp_py.algorithms.po_uct.POUCT attribute) Distribution (class in pomdp_py.framework.basics) down (pomdp_py.utils.misc.special_char attribute) draw_belief() (pomdp_py.problems.multi_object_search.env.visual.MosViz static method) (pomdp_py.problems.tag.env.visual.TagViz static method) draw_observation() (pomdp_py.problems.multi_object_search.env.visual.MosViz static method) (pomdp_py.problems.tag.env.visual.TagViz static method) draw_robot() (pomdp_py.problems.multi_object_search.env.visual.MosViz static method) (pomdp_py.problems.tag.env.visual.TagViz static method)

E

EAST (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.MoveAction attribute), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.MoveAction attribute) EAST2D (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) ekf_update_mlo() (pomdp_py.algorithms.bsp.blqr.BLQR method), [1] ENDC (pomdp_py.utils.typ.bcolors attribute)

Environment (class in pomdp_py.framework.basics) equip_sensors() (in module pomdp_py.problems.multi_object_search.env.env) error() (in module pomdp_py.utils.typ) euclidean_dist() (in module pomdp_py.problems.multi_object_search.models.components.sensor) (in module pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (in module pomdp_py.problems.rocksample.rocksample_problem) (in module pomdp_py.utils.math)

F

factor() (pomdp_py.framework.oopomdp.OOObservation method) (pomdp_py.problems.multi_object_search.domain.observation.MosOOObservation method) FindAction (class in pomdp_py.problems.multi_object_search.domain.action) for_obj() (pomdp_py.problems.multi_object_search.domain.observation.MosOOObservation method) FORWARD (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) free_cells() (pomdp_py.problems.tag.models.components.grid_map.GridMap method)

from_histogram() (pomdp_py.representations.distribution.particles.Particles class method) (pomdp_py.representations.distribution.particles.WeightedParticles class method) from_str() (pomdp_py.problems.tag.env.env.TagEnvironment class method) (pomdp_py.problems.tag.models.components.grid_map.GridMap class method) from_vnode() (pomdp_py.algorithms.po_uct.RootVNode class method) (pomdp_py.algorithms.pomcp.RootVNodeParticles class method) frozen (pomdp_py.representations.distribution.particles.WeightedParticles attribute)

G

Gaussian (class in pomdp_py.representations.distribution.gaussian) generate_init_belief() (in module pomdp_py.problems.load_unload.load_unload) generate_instance() (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockSampleProblem static method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockSampleProblem static method) generate_random_state() (in module pomdp_py.problems.load_unload.load_unload) GenerativeDistribution (class in pomdp_py.framework.basics) get_abstraction() (pomdp_py.representations.distribution.particles.Particles method) get_all_actions() (pomdp_py.framework.basics.PolicyModel method) (pomdp_py.problems.load_unload.load_unload.LUPolicyModel method) (pomdp_py.problems.multi_object_search.models.policy_model.PolicyModel method) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSPolicyModel method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RSPolicyModel method) (pomdp_py.problems.tag.models.policy_model.TagPolicyModel method) (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerPolicyModel method), [1], [2], [3] (pomdp_py.problems.tiger.tiger_problem.PolicyModel method) (pomdp_py.utils.templates.UniformPolicyModel method) get_all_observations() (pomdp_py.framework.basics.ObservationModel method) (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerObservationModel method), [1], [2], [3] (pomdp_py.problems.tiger.tiger_problem.ObservationModel method) (pomdp_py.utils.templates.TabularObservationModel method) get_all_states() (pomdp_py.framework.basics.TransitionModel method) (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerTransitionModel method), [1], [2], [3] (pomdp_py.problems.tiger.tiger_problem.TransitionModel method) (pomdp_py.utils.templates.TabularTransitionModel method)

get_distribution() (pomdp_py.framework.basics.ObservationModel method) (pomdp_py.framework.basics.PolicyModel method) (pomdp_py.framework.basics.RewardModel method) (pomdp_py.framework.basics.TransitionModel method) (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerObservationModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerRewardModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerTransitionModel method), [1], [2], [3] get_histogram() (pomdp_py.framework.basics.GenerativeDistribution method) (pomdp_py.representations.distribution.histogram.Histogram method) (pomdp_py.representations.distribution.particles.Particles method) (pomdp_py.representations.distribution.particles.WeightedParticles method) get_object_attribute() (pomdp_py.framework.oopomdp.OOState method) get_object_class() (pomdp_py.framework.oopomdp.OOState method) get_object_state() (pomdp_py.framework.oopomdp.OOState method) get_preferred_actions() (pomdp_py.algorithms.po_uct.ActionPrior method) GoalRewardModel (class in pomdp_py.problems.multi_object_search.models.reward_model) GOOD (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockType attribute), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockType attribute) GREEN (pomdp_py.utils.typ.bcolors attribute) green() (in module pomdp_py.utils.typ) grid_map (pomdp_py.problems.tag.env.env.TagEnvironment property) GridMap (class in pomdp_py.problems.multi_object_search.models.components.grid_map) (class in pomdp_py.problems.tag.models.components.grid_map)

H

hex_to_rgb() (in module pomdp_py.utils.colors) hist (pomdp_py.representations.distribution.particles.WeightedParticles attribute) hist_valid (pomdp_py.representations.distribution.particles.WeightedParticles attribute) Histogram (class in pomdp_py.representations.distribution.histogram)

histogram (pomdp_py.representations.distribution.histogram.Histogram attribute) history (pomdp_py.algorithms.po_uct.RootVNode attribute) (pomdp_py.framework.basics.Agent attribute) hline (pomdp_py.utils.misc.special_char attribute)

I

if_move_by() (pomdp_py.problems.multi_object_search.models.transition_model.RobotTransitionModel class method) (pomdp_py.problems.tag.models.transition_model.TagTransitionModel class method) img_height (pomdp_py.problems.multi_object_search.env.visual.MosViz property) (pomdp_py.problems.tag.env.visual.TagViz property) img_width (pomdp_py.problems.multi_object_search.env.visual.MosViz property) (pomdp_py.problems.tag.env.visual.TagViz property) in_boundary() (in module pomdp_py.problems.multi_object_search.models.transition_model) in_exit_area() (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockSampleProblem method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockSampleProblem method) in_field_of_view() (pomdp_py.problems.multi_object_search.models.components.sensor.Laser2DSensor method) in_range() (in module pomdp_py.problems.multi_object_search.models.components.sensor) info() (in module pomdp_py.utils.typ) init_belief (pomdp_py.framework.basics.Agent attribute) init_particles_belief() (in module pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (in module pomdp_py.problems.rocksample.rocksample_problem)

initialize_belief() (in module pomdp_py.problems.multi_object_search.agent.belief) (in module pomdp_py.problems.tag.agent.agent) initialize_particles_belief() (in module pomdp_py.problems.tag.agent.agent) initiate() (pomdp_py.framework.basics.Option method) integrate_belief_segment() (pomdp_py.algorithms.bsp.blqr.BLQR method), [1] interpret() (in module pomdp_py.problems.multi_object_search.env.env) interpret_color() (in module pomdp_py.utils.debugging), [1] interpret_robot_id() (in module pomdp_py.problems.multi_object_search.env.env) interpret_sqp_plan() (pomdp_py.algorithms.bsp.blqr.BLQR method), [1] intersect (pomdp_py.utils.misc.special_char attribute) inverse_color_hex() (in module pomdp_py.utils.colors) inverse_color_rgb() (in module pomdp_py.utils.colors) invert() (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockType static method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockType static method) is_normalized() (pomdp_py.representations.distribution.histogram.Histogram method)

J

json_safe() (in module pomdp_py.utils.misc)

L

l() (pomdp_py.utils.debugging.TreeDebugger method), [1] LASER (pomdp_py.problems.multi_object_search.models.components.sensor.Sensor attribute) Laser2DSensor (class in pomdp_py.problems.multi_object_search.models.components.sensor) last_best_reward (pomdp_py.algorithms.po_rollout.PORollout attribute) last_num_sims (pomdp_py.algorithms.po_uct.POUCT attribute) last_observation (pomdp_py.problems.multi_object_search.env.visual.MosViz property) (pomdp_py.problems.tag.env.visual.TagViz property) last_planning_time (pomdp_py.algorithms.po_uct.POUCT attribute) layer() (pomdp_py.utils.debugging.TreeDebugger method), [1] leaf (pomdp_py.utils.debugging.TreeDebugger property), [1] LEFT (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) left (pomdp_py.utils.misc.special_char attribute) leftt (pomdp_py.utils.misc.special_char attribute) length (pomdp_py.problems.tag.env.env.TagEnvironment property) light (pomdp_py.problems.light_dark.env.env.LightDarkEnvironment property) LightDarkEnvironment (class in pomdp_py.problems.light_dark.env.env)

lighter() (in module pomdp_py.utils.colors) LoadUnloadProblem (class in pomdp_py.problems.load_unload.load_unload) longbottomleft (pomdp_py.utils.misc.special_char attribute) longbottomright (pomdp_py.utils.misc.special_char attribute) longleft (pomdp_py.utils.misc.special_char attribute) longright (pomdp_py.utils.misc.special_char attribute) longtopleft (pomdp_py.utils.misc.special_char attribute) longtopright (pomdp_py.utils.misc.special_char attribute) LookAction (class in pomdp_py.problems.multi_object_search.domain.action) LUAction (class in pomdp_py.problems.load_unload.load_unload) LUObservation (class in pomdp_py.problems.load_unload.load_unload) LUObservationModel (class in pomdp_py.problems.load_unload.load_unload) LUPolicyModel (class in pomdp_py.problems.load_unload.load_unload) LURewardModel (class in pomdp_py.problems.load_unload.load_unload) LUState (class in pomdp_py.problems.load_unload.load_unload) LUTransitionModel (class in pomdp_py.problems.load_unload.load_unload)

M

MAGENTA (pomdp_py.utils.typ.bcolors attribute) magenta() (in module pomdp_py.utils.typ) main() (in module pomdp_py.problems.load_unload.load_unload) (in module pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (in module pomdp_py.problems.rocksample.rocksample_problem) (in module pomdp_py.problems.tag.experiment) (in module pomdp_py.problems.tag.problem) (in module pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] (in module pomdp_py.problems.tiger.tiger_problem) make_laser_sensor() (in module pomdp_py.problems.multi_object_search.env.env) make_proximity_sensor() (in module pomdp_py.problems.multi_object_search.env.env) make_tiger() (in module pomdp_py.problems.tiger.tiger_problem) mark() (pomdp_py.utils.debugging.TreeDebugger method), [1] mark_path() (pomdp_py.utils.debugging.TreeDebugger method), [1] mark_sequence() (pomdp_py.utils.debugging.TreeDebugger method), [1] markp() (pomdp_py.utils.debugging.TreeDebugger method), [1] max_depth (pomdp_py.algorithms.po_uct.POUCT attribute) MazeEnvironment (class in pomdp_py.problems.maze.env.env) mbp (pomdp_py.utils.debugging.TreeDebugger property), [1] mean (pomdp_py.representations.distribution.gaussian.Gaussian attribute) merge() (pomdp_py.framework.oopomdp.OOObservation class method) (pomdp_py.problems.multi_object_search.domain.observation.MosOOObservation class method) minimal_instance() (in module pomdp_py.problems.rocksample.rocksample_problem) module pomdp_py.algorithms.bsp pomdp_py.algorithms.bsp.blqr, [1] pomdp_py.algorithms.po_rollout pomdp_py.algorithms.po_uct pomdp_py.algorithms.pomcp pomdp_py.algorithms.value_iteration pomdp_py.framework.basics pomdp_py.framework.oopomdp pomdp_py.framework.planner pomdp_py.problems pomdp_py.problems.light_dark.env pomdp_py.problems.light_dark.env.env pomdp_py.problems.light_dark.env.plotting pomdp_py.problems.load_unload pomdp_py.problems.load_unload.load_unload pomdp_py.problems.maze pomdp_py.problems.maze.domain pomdp_py.problems.maze.domain.action pomdp_py.problems.maze.domain.observation pomdp_py.problems.maze.domain.state pomdp_py.problems.maze.env pomdp_py.problems.maze.env.env pomdp_py.problems.maze.models pomdp_py.problems.maze.models.components pomdp_py.problems.multi_object_search pomdp_py.problems.multi_object_search.agent pomdp_py.problems.multi_object_search.agent.agent pomdp_py.problems.multi_object_search.agent.belief pomdp_py.problems.multi_object_search.domain pomdp_py.problems.multi_object_search.domain.action pomdp_py.problems.multi_object_search.domain.observation pomdp_py.problems.multi_object_search.domain.state pomdp_py.problems.multi_object_search.env pomdp_py.problems.multi_object_search.env.env pomdp_py.problems.multi_object_search.env.visual pomdp_py.problems.multi_object_search.example_worlds pomdp_py.problems.multi_object_search.models pomdp_py.problems.multi_object_search.models.components pomdp_py.problems.multi_object_search.models.components.grid_map pomdp_py.problems.multi_object_search.models.components.sensor pomdp_py.problems.multi_object_search.models.observation_model pomdp_py.problems.multi_object_search.models.policy_model pomdp_py.problems.multi_object_search.models.reward_model pomdp_py.problems.multi_object_search.models.transition_model pomdp_py.problems.multi_object_search.problem pomdp_py.problems.rocksample pomdp_py.problems.rocksample.cythonize, [1] pomdp_py.problems.rocksample.cythonize.rocksample_problem, [1], [2], [3] pomdp_py.problems.rocksample.rocksample_problem pomdp_py.problems.tag pomdp_py.problems.tag.agent pomdp_py.problems.tag.agent.agent pomdp_py.problems.tag.constants pomdp_py.problems.tag.domain pomdp_py.problems.tag.domain.action pomdp_py.problems.tag.domain.observation pomdp_py.problems.tag.domain.state pomdp_py.problems.tag.env pomdp_py.problems.tag.env.env pomdp_py.problems.tag.env.visual pomdp_py.problems.tag.example_worlds pomdp_py.problems.tag.experiment pomdp_py.problems.tag.models pomdp_py.problems.tag.models.components pomdp_py.problems.tag.models.components.grid_map pomdp_py.problems.tag.models.components.motion_policy pomdp_py.problems.tag.models.observation_model pomdp_py.problems.tag.models.policy_model pomdp_py.problems.tag.models.reward_model pomdp_py.problems.tag.models.transition_model pomdp_py.problems.tag.problem pomdp_py.problems.tiger pomdp_py.problems.tiger.cythonize, [1] pomdp_py.problems.tiger.cythonize.tiger_problem, [1], [2], [3] pomdp_py.problems.tiger.tiger_problem pomdp_py.representations.belief.histogram pomdp_py.representations.belief.particles pomdp_py.representations.distribution.gaussian pomdp_py.representations.distribution.histogram pomdp_py.representations.distribution.particles pomdp_py.utils pomdp_py.utils.colors pomdp_py.utils.cython_utils pomdp_py.utils.debugging, [1] pomdp_py.utils.interfaces.solvers pomdp_py.utils.math pomdp_py.utils.misc pomdp_py.utils.templates pomdp_py.utils.typ

MosAgent (class in pomdp_py.problems.multi_object_search.agent.agent) MosEnvironment (class in pomdp_py.problems.multi_object_search.env.env) MosObservationModel (class in pomdp_py.problems.multi_object_search.models.observation_model) MosOOBelief (class in pomdp_py.problems.multi_object_search.agent.belief) MosOOObservation (class in pomdp_py.problems.multi_object_search.domain.observation) MosOOPOMDP (class in pomdp_py.problems.multi_object_search.problem) MosOOState (class in pomdp_py.problems.multi_object_search.domain.state) MosRewardModel (class in pomdp_py.problems.multi_object_search.models.reward_model) MosTransitionModel (class in pomdp_py.problems.multi_object_search.models.transition_model) MosViz (class in pomdp_py.problems.multi_object_search.env.visual) motion (pomdp_py.problems.rocksample.cythonize.rocksample_problem.MoveAction attribute), [1], [2], [3] MotionAction (class in pomdp_py.problems.multi_object_search.domain.action) MoveAction (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) mpe() (pomdp_py.framework.basics.GenerativeDistribution method) (pomdp_py.framework.oopomdp.OOBelief method) (pomdp_py.problems.multi_object_search.agent.belief.MosOOBelief method) (pomdp_py.problems.tag.models.components.motion_policy.TagTargetMotionPolicy method) (pomdp_py.representations.distribution.gaussian.Gaussian method) (pomdp_py.representations.distribution.histogram.Histogram method) (pomdp_py.representations.distribution.particles.WeightedParticles method)

N

name (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerObservation attribute), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerState attribute), [1], [2], [3] nl (pomdp_py.utils.debugging.TreeDebugger property), [1] nn (pomdp_py.utils.debugging.TreeDebugger property), [1] NORTH (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.MoveAction attribute), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.MoveAction attribute) NORTH2D (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute)

note() (in module pomdp_py.utils.typ) nq (pomdp_py.utils.debugging.TreeDebugger property), [1] NULL (pomdp_py.problems.multi_object_search.domain.observation.ObjectObservation attribute) num_layers (pomdp_py.utils.debugging.TreeDebugger property), [1] num_nodes() (pomdp_py.utils.debugging.TreeDebugger method), [1] num_visits (pomdp_py.algorithms.po_uct.TreeNode attribute) num_visits_init (pomdp_py.algorithms.po_uct.POUCT attribute) nv (pomdp_py.utils.debugging.TreeDebugger property), [1]

O

object_belief() (pomdp_py.framework.oopomdp.OOBelief method) object_beliefs (pomdp_py.framework.oopomdp.OOBelief attribute) object_color() (in module pomdp_py.problems.multi_object_search.env.visual) object_pose() (pomdp_py.problems.multi_object_search.domain.state.MosOOState method) object_poses (pomdp_py.problems.multi_object_search.domain.state.MosOOState property) ObjectObservation (class in pomdp_py.problems.multi_object_search.domain.observation) ObjectObservationModel (class in pomdp_py.problems.multi_object_search.models.observation_model) objects_found (pomdp_py.problems.multi_object_search.domain.state.RobotState property) ObjectState (class in pomdp_py.framework.oopomdp) (class in pomdp_py.problems.multi_object_search.domain.state) objid (pomdp_py.problems.multi_object_search.domain.state.ObjectState property) Observation (class in pomdp_py.framework.basics) (class in pomdp_py.problems.maze.domain.observation) (class in pomdp_py.problems.rocksample.rocksample_problem) observation_models (pomdp_py.framework.oopomdp.OOObservationModel attribute) ObservationModel (class in pomdp_py.framework.basics) (class in pomdp_py.problems.tiger.tiger_problem) OBSERVATIONS (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerProblem attribute), [1], [2], [3] observe() (pomdp_py.problems.multi_object_search.models.components.sensor.Laser2DSensor method) (pomdp_py.problems.multi_object_search.models.components.sensor.Sensor method)

on_cleanup() (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) on_event() (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) on_execute() (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) on_init() (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) on_loop() (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) on_render() (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) OOBelief (class in pomdp_py.framework.oopomdp) OOObservation (class in pomdp_py.framework.oopomdp) OOObservationModel (class in pomdp_py.framework.oopomdp) OOPOMDP (class in pomdp_py.framework.oopomdp) OOState (class in pomdp_py.framework.oopomdp) OOTransitionModel (class in pomdp_py.framework.oopomdp) Option (class in pomdp_py.framework.basics) other() (pomdp_py.problems.tiger.tiger_problem.TigerState method)

P

p() (pomdp_py.utils.debugging.TreeDebugger method), [1] particle_reinvigoration() (in module pomdp_py.representations.belief.particles) Particles (class in pomdp_py.representations.distribution.particles) particles (pomdp_py.representations.distribution.particles.Particles attribute) (pomdp_py.representations.distribution.particles.WeightedParticles attribute) path() (pomdp_py.utils.debugging.TreeDebugger method), [1] path_to() (pomdp_py.utils.debugging.TreeDebugger method), [1] plan() (pomdp_py.algorithms.po_rollout.PORollout method) (pomdp_py.algorithms.po_uct.POUCT method) (pomdp_py.algorithms.pomcp.POMCP method) (pomdp_py.algorithms.value_iteration.ValueIteration method) (pomdp_py.framework.planner.Planner method) (pomdp_py.utils.interfaces.conversion.AlphaVectorPolicy method) (pomdp_py.utils.interfaces.conversion.PolicyGraph method) Planner (class in pomdp_py.framework.planner) plot_circle() (in module pomdp_py.problems.light_dark.env.plotting) plot_line() (in module pomdp_py.problems.light_dark.env.plotting) plot_points() (in module pomdp_py.problems.light_dark.env.plotting) plot_polygons() (in module pomdp_py.problems.light_dark.env.plotting) pm (pomdp_py.utils.debugging.TreeDebugger property), [1] policy (pomdp_py.framework.basics.Option attribute) PolicyGraph (class in pomdp_py.utils.interfaces.conversion) PolicyModel (class in pomdp_py.framework.basics) (class in pomdp_py.problems.multi_object_search.models.policy_model) (class in pomdp_py.problems.tiger.tiger_problem) POMCP (class in pomdp_py.algorithms.pomcp) POMDP (class in pomdp_py.framework.basics) pomdp_py.algorithms.bsp module pomdp_py.algorithms.bsp.blqr module, [1] pomdp_py.algorithms.po_rollout module pomdp_py.algorithms.po_uct module pomdp_py.algorithms.pomcp module pomdp_py.algorithms.value_iteration module pomdp_py.framework.basics module pomdp_py.framework.oopomdp module pomdp_py.framework.planner module pomdp_py.problems module pomdp_py.problems.light_dark.env module pomdp_py.problems.light_dark.env.env module pomdp_py.problems.light_dark.env.plotting module pomdp_py.problems.load_unload module pomdp_py.problems.load_unload.load_unload module pomdp_py.problems.maze module pomdp_py.problems.maze.domain module pomdp_py.problems.maze.domain.action module pomdp_py.problems.maze.domain.observation module pomdp_py.problems.maze.domain.state module pomdp_py.problems.maze.env module pomdp_py.problems.maze.env.env module pomdp_py.problems.maze.models module pomdp_py.problems.maze.models.components module pomdp_py.problems.multi_object_search module pomdp_py.problems.multi_object_search.agent module pomdp_py.problems.multi_object_search.agent.agent module pomdp_py.problems.multi_object_search.agent.belief module pomdp_py.problems.multi_object_search.domain module pomdp_py.problems.multi_object_search.domain.action module pomdp_py.problems.multi_object_search.domain.observation module pomdp_py.problems.multi_object_search.domain.state module pomdp_py.problems.multi_object_search.env module pomdp_py.problems.multi_object_search.env.env module pomdp_py.problems.multi_object_search.env.visual module pomdp_py.problems.multi_object_search.example_worlds module pomdp_py.problems.multi_object_search.models module pomdp_py.problems.multi_object_search.models.components module pomdp_py.problems.multi_object_search.models.components.grid_map module pomdp_py.problems.multi_object_search.models.components.sensor module pomdp_py.problems.multi_object_search.models.observation_model module pomdp_py.problems.multi_object_search.models.policy_model module pomdp_py.problems.multi_object_search.models.reward_model module pomdp_py.problems.multi_object_search.models.transition_model module pomdp_py.problems.multi_object_search.problem module pomdp_py.problems.rocksample module pomdp_py.problems.rocksample.cythonize module, [1] pomdp_py.problems.rocksample.cythonize.rocksample_problem module, [1], [2], [3] pomdp_py.problems.rocksample.rocksample_problem module pomdp_py.problems.tag module pomdp_py.problems.tag.agent module

pomdp_py.problems.tag.agent.agent module pomdp_py.problems.tag.constants module pomdp_py.problems.tag.domain module pomdp_py.problems.tag.domain.action module pomdp_py.problems.tag.domain.observation module pomdp_py.problems.tag.domain.state module pomdp_py.problems.tag.env module pomdp_py.problems.tag.env.env module pomdp_py.problems.tag.env.visual module pomdp_py.problems.tag.example_worlds module pomdp_py.problems.tag.experiment module pomdp_py.problems.tag.models module pomdp_py.problems.tag.models.components module pomdp_py.problems.tag.models.components.grid_map module pomdp_py.problems.tag.models.components.motion_policy module pomdp_py.problems.tag.models.observation_model module pomdp_py.problems.tag.models.policy_model module pomdp_py.problems.tag.models.reward_model module pomdp_py.problems.tag.models.transition_model module pomdp_py.problems.tag.problem module pomdp_py.problems.tiger module pomdp_py.problems.tiger.cythonize module, [1] pomdp_py.problems.tiger.cythonize.tiger_problem module, [1], [2], [3] pomdp_py.problems.tiger.tiger_problem module pomdp_py.representations.belief.histogram module pomdp_py.representations.belief.particles module pomdp_py.representations.distribution.gaussian module pomdp_py.representations.distribution.histogram module pomdp_py.representations.distribution.particles module pomdp_py.utils module pomdp_py.utils.colors module pomdp_py.utils.cython_utils module pomdp_py.utils.debugging module, [1] pomdp_py.utils.interfaces.solvers module pomdp_py.utils.math module pomdp_py.utils.misc module pomdp_py.utils.templates module pomdp_py.utils.typ module PORollout (class in pomdp_py.algorithms.po_rollout) pose (pomdp_py.problems.multi_object_search.domain.state.ObjectState property) (pomdp_py.problems.multi_object_search.domain.state.RobotState property) pose() (pomdp_py.problems.multi_object_search.domain.state.MosOOState method) position (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSState attribute), [1], [2], [3] POUCT (class in pomdp_py.algorithms.po_uct) pp (pomdp_py.utils.debugging.TreeDebugger property), [1] preferred_actions() (pomdp_py.utils.debugging.TreeDebugger static method), [1] print_children_value() (pomdp_py.algorithms.po_uct.VNode method) print_state() (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockSampleProblem method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockSampleProblem method) probability() (pomdp_py.framework.basics.ObservationModel method) (pomdp_py.framework.basics.PolicyModel method) (pomdp_py.framework.basics.RewardModel method) (pomdp_py.framework.basics.TransitionModel method) (pomdp_py.framework.oopomdp.OOObservationModel method) (pomdp_py.framework.oopomdp.OOTransitionModel method) (pomdp_py.problems.load_unload.load_unload.LUObservationModel method) (pomdp_py.problems.load_unload.load_unload.LUPolicyModel method) (pomdp_py.problems.load_unload.load_unload.LURewardModel method) (pomdp_py.problems.load_unload.load_unload.LUTransitionModel method) (pomdp_py.problems.multi_object_search.models.observation_model.ObjectObservationModel method) (pomdp_py.problems.multi_object_search.models.policy_model.PolicyModel method) (pomdp_py.problems.multi_object_search.models.reward_model.MosRewardModel method) (pomdp_py.problems.multi_object_search.models.transition_model.RobotTransitionModel method) (pomdp_py.problems.multi_object_search.models.transition_model.StaticObjectTransitionModel method) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSObservationModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSPolicyModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSRewardModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSTransitionModel method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RSObservationModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSPolicyModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSRewardModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSTransitionModel method) (pomdp_py.problems.tag.models.components.motion_policy.TagTargetMotionPolicy method) (pomdp_py.problems.tag.models.observation_model.TagObservationModel method) (pomdp_py.problems.tag.models.reward_model.TagRewardModel method) (pomdp_py.problems.tag.models.transition_model.TagTransitionModel method) (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerObservationModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerPolicyModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerRewardModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerTransitionModel method), [1], [2], [3] (pomdp_py.problems.tiger.tiger_problem.ObservationModel method) (pomdp_py.problems.tiger.tiger_problem.TransitionModel method) (pomdp_py.utils.templates.DetObservationModel method) (pomdp_py.utils.templates.DetTransitionModel method) (pomdp_py.utils.templates.TabularObservationModel method) (pomdp_py.utils.templates.TabularTransitionModel method) proj() (in module pomdp_py.utils.math) provide_observation() (pomdp_py.framework.basics.Environment method) PROXIMITY (pomdp_py.problems.multi_object_search.models.components.sensor.Sensor attribute) ProximitySensor (class in pomdp_py.problems.multi_object_search.models.components.sensor)

Q

QNode (class in pomdp_py.algorithms.po_uct)

quality (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSObservation attribute), [1], [2], [3]

R

r (pomdp_py.utils.debugging.TreeDebugger property), [1] R_between() (in module pomdp_py.utils.math) R_x() (in module pomdp_py.utils.math) R_y() (in module pomdp_py.utils.math) R_z() (in module pomdp_py.utils.math) random() (pomdp_py.framework.oopomdp.OOBelief method) (pomdp_py.problems.multi_object_search.agent.belief.MosOOBelief method) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockType static method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockType static method) (pomdp_py.problems.tag.models.components.motion_policy.TagTargetMotionPolicy method) (pomdp_py.representations.distribution.gaussian.Gaussian method) (pomdp_py.representations.distribution.histogram.Histogram method) (pomdp_py.representations.distribution.particles.Particles method) (pomdp_py.representations.distribution.particles.WeightedParticles method) random_free_location() (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RockSampleProblem static method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RockSampleProblem static method) random_unique_color() (in module pomdp_py.utils.colors) random_world() (in module pomdp_py.problems.multi_object_search.example_worlds) RandomRollout (class in pomdp_py.algorithms.po_uct) RED (pomdp_py.utils.typ.bcolors attribute) red() (in module pomdp_py.utils.typ) remap() (in module pomdp_py.utils.misc) render_env() (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) reward_func() (pomdp_py.utils.templates.DetRewardModel method) reward_model (pomdp_py.framework.basics.Environment attribute) RewardModel (class in pomdp_py.framework.basics) (class in pomdp_py.problems.tiger.tiger_problem) rgb_to_hex() (in module pomdp_py.utils.colors) RIGHT (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) right (pomdp_py.utils.misc.special_char attribute) rightt (pomdp_py.utils.misc.special_char attribute) robot_id (pomdp_py.problems.multi_object_search.models.components.sensor.Sensor property)

robot_ids (pomdp_py.problems.multi_object_search.env.env.MosEnvironment property) robot_pose (pomdp_py.problems.multi_object_search.domain.state.RobotState property) RobotState (class in pomdp_py.problems.multi_object_search.domain.state) RobotTransitionModel (class in pomdp_py.problems.multi_object_search.models.transition_model) rock_id (pomdp_py.problems.rocksample.cythonize.rocksample_problem.CheckAction attribute), [1], [2], [3] RockSampleProblem (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) RockType (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) rocktypes (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSState attribute), [1], [2], [3] rollout() (pomdp_py.algorithms.po_uct.RandomRollout method) (pomdp_py.algorithms.po_uct.RolloutPolicy method) (pomdp_py.problems.multi_object_search.models.policy_model.PolicyModel method) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSPolicyModel method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RSPolicyModel method) (pomdp_py.problems.tag.models.policy_model.TagPolicyModel method) (pomdp_py.problems.tiger.tiger_problem.PolicyModel method) (pomdp_py.utils.templates.UniformPolicyModel method) rollout_policy (pomdp_py.algorithms.po_uct.POUCT attribute) RolloutPolicy (class in pomdp_py.algorithms.po_uct) root (pomdp_py.utils.debugging.TreeDebugger property), [1] RootVNode (class in pomdp_py.algorithms.po_uct) RootVNodeParticles (class in pomdp_py.algorithms.pomcp) RSAction (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] RSObservation (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] RSObservationModel (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) RSPolicyModel (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) RSRewardModel (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) RSState (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] RSTransitionModel (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem)

S

s() (pomdp_py.framework.oopomdp.OOState method) (pomdp_py.utils.debugging.TreeDebugger method), [1] (pomdp_py.utils.typ.bcolors static method) safe_slice() (in module pomdp_py.utils.misc) sample() (pomdp_py.framework.basics.BlackboxModel method) (pomdp_py.framework.basics.ObservationModel method) (pomdp_py.framework.basics.Option method) (pomdp_py.framework.basics.PolicyModel method) (pomdp_py.framework.basics.RewardModel method) (pomdp_py.framework.basics.TransitionModel method) (pomdp_py.framework.oopomdp.OOObservationModel method) (pomdp_py.framework.oopomdp.OOTransitionModel method) (pomdp_py.problems.load_unload.load_unload.LUObservationModel method) (pomdp_py.problems.load_unload.load_unload.LUPolicyModel method) (pomdp_py.problems.load_unload.load_unload.LURewardModel method) (pomdp_py.problems.load_unload.load_unload.LUTransitionModel method) (pomdp_py.problems.multi_object_search.models.observation_model.MosObservationModel method) (pomdp_py.problems.multi_object_search.models.observation_model.ObjectObservationModel method) (pomdp_py.problems.multi_object_search.models.policy_model.PolicyModel method) (pomdp_py.problems.multi_object_search.models.reward_model.MosRewardModel method) (pomdp_py.problems.multi_object_search.models.transition_model.MosTransitionModel method) (pomdp_py.problems.multi_object_search.models.transition_model.RobotTransitionModel method) (pomdp_py.problems.multi_object_search.models.transition_model.StaticObjectTransitionModel method) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSObservationModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSPolicyModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSRewardModel method), [1], [2], [3] (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSTransitionModel method), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.RSObservationModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSPolicyModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSRewardModel method) (pomdp_py.problems.rocksample.rocksample_problem.RSTransitionModel method) (pomdp_py.problems.tag.models.observation_model.TagObservationModel method) (pomdp_py.problems.tag.models.policy_model.TagPolicyModel method) (pomdp_py.problems.tag.models.reward_model.TagRewardModel method) (pomdp_py.problems.tag.models.transition_model.TagTransitionModel method) (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerObservationModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerPolicyModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerRewardModel method), [1], [2], [3] (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerTransitionModel method), [1], [2], [3] (pomdp_py.problems.tiger.tiger_problem.ObservationModel method) (pomdp_py.problems.tiger.tiger_problem.PolicyModel method) (pomdp_py.problems.tiger.tiger_problem.RewardModel method) (pomdp_py.problems.tiger.tiger_problem.TransitionModel method) (pomdp_py.utils.templates.DetObservationModel method) (pomdp_py.utils.templates.DetRewardModel method) (pomdp_py.utils.templates.DetTransitionModel method) (pomdp_py.utils.templates.TabularObservationModel method) (pomdp_py.utils.templates.TabularRewardModel method) (pomdp_py.utils.templates.TabularTransitionModel method) (pomdp_py.utils.templates.UniformPolicyModel method)

sample_belief() (pomdp_py.framework.basics.Agent method) sample_explict_models() (in module pomdp_py.framework.basics) sample_generative_model() (in module pomdp_py.framework.basics) SampleAction (class in pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (class in pomdp_py.problems.rocksample.rocksample_problem) sarsop() (in module pomdp_py.utils.interfaces.solvers) SCHEME_VW (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) SCHEME_XY (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) SCHEME_XYTH (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) SCHEMES (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) segmented_cost_function() (pomdp_py.algorithms.bsp.blqr.BLQR method), [1] sensing_region_size (pomdp_py.problems.multi_object_search.models.components.sensor.Laser2DSensor property) (pomdp_py.problems.multi_object_search.models.components.sensor.Sensor property) Sensor (class in pomdp_py.problems.multi_object_search.models.components.sensor) set_belief() (pomdp_py.framework.basics.Agent method) set_models() (pomdp_py.framework.basics.Agent method) (pomdp_py.framework.basics.Environment method) set_name() (pomdp_py.framework.basics.Agent method) set_object_belief() (pomdp_py.framework.oopomdp.OOBelief method) set_object_state() (pomdp_py.framework.oopomdp.OOState method) set_rollout_policy() (pomdp_py.algorithms.po_rollout.PORollout method) (pomdp_py.algorithms.po_uct.POUCT method) shadebar (pomdp_py.utils.misc.special_char attribute) shoot_beam() (pomdp_py.problems.multi_object_search.models.components.sensor.Laser2DSensor method) sigma (pomdp_py.representations.distribution.gaussian.Gaussian attribute) similar() (in module pomdp_py.utils.misc) SimpleAction (class in pomdp_py.utils.templates) SimpleObservation (class in pomdp_py.utils.templates) SimpleState (class in pomdp_py.utils.templates) single_node_str() (pomdp_py.utils.debugging.TreeDebugger static method), [1] situation (pomdp_py.framework.oopomdp.OOState attribute) solve() (in module pomdp_py.problems.multi_object_search.problem) (in module pomdp_py.problems.tag.problem) sorted_by_str() (in module pomdp_py.utils.debugging), [1] SOUTH (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.MoveAction attribute), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.MoveAction attribute) SOUTH2D (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) special_char (class in pomdp_py.utils.misc) State (class in pomdp_py.framework.basics) (class in pomdp_py.problems.maze.domain.state) (class in pomdp_py.problems.rocksample.rocksample_problem) state (pomdp_py.framework.basics.Environment attribute) state_transition() (pomdp_py.framework.basics.Environment method) (pomdp_py.problems.multi_object_search.env.env.MosEnvironment method) STATES (pomdp_py.problems.tiger.cythonize.tiger_problem.TigerProblem attribute), [1], [2], [3] StaticObjectTransitionModel (class in pomdp_py.problems.multi_object_search.models.transition_model) step() (pomdp_py.utils.debugging.TreeDebugger method), [1] SUBSCRIPT (pomdp_py.utils.misc.special_char attribute) success() (in module pomdp_py.utils.typ)

T

T() (in module pomdp_py.utils.math) TabularObservationModel (class in pomdp_py.utils.templates) TabularRewardModel (class in pomdp_py.utils.templates) TabularTransitionModel (class in pomdp_py.utils.templates) TagAction (class in pomdp_py.problems.tag.domain.action) TagAgent (class in pomdp_py.problems.tag.agent.agent) TagEnvironment (class in pomdp_py.problems.tag.env.env) TagObservation (class in pomdp_py.problems.tag.domain.observation) TagObservationModel (class in pomdp_py.problems.tag.models.observation_model) TagPolicyModel (class in pomdp_py.problems.tag.models.policy_model) TagProblem (class in pomdp_py.problems.tag.problem) TagRewardModel (class in pomdp_py.problems.tag.models.reward_model) TagState (class in pomdp_py.problems.tag.domain.state) TagTargetMotionPolicy (class in pomdp_py.problems.tag.models.components.motion_policy) TagTransitionModel (class in pomdp_py.problems.tag.models.transition_model) TagViz (class in pomdp_py.problems.tag.env.visual) terminal (pomdp_py.problems.rocksample.cythonize.rocksample_problem.RSState attribute), [1], [2], [3] terminate() (pomdp_py.framework.basics.Option method) test_planner() (in module pomdp_py.problems.load_unload.load_unload) (in module pomdp_py.problems.rocksample.cythonize.rocksample_problem), [1], [2], [3] (in module pomdp_py.problems.rocksample.rocksample_problem) (in module pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] (in module pomdp_py.problems.tiger.tiger_problem) TigerAction (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] (class in pomdp_py.problems.tiger.tiger_problem)

TigerObservation (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] (class in pomdp_py.problems.tiger.tiger_problem) TigerObservationModel (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] TigerPolicyModel (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] TigerProblem (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] (class in pomdp_py.problems.tiger.tiger_problem) TigerRewardModel (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] TigerState (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] (class in pomdp_py.problems.tiger.tiger_problem) TigerTransitionModel (class in pomdp_py.problems.tiger.cythonize.tiger_problem), [1], [2], [3] to_pomdp_file() (in module pomdp_py.utils.interfaces.conversion) to_pomdpx_file() (in module pomdp_py.utils.interfaces.conversion) to_rad() (in module pomdp_py.problems.multi_object_search.models.components.sensor) to_radians() (in module pomdp_py.utils.math) topleft (pomdp_py.utils.misc.special_char attribute) topright (pomdp_py.utils.misc.special_char attribute) topt (pomdp_py.utils.misc.special_char attribute) transition_model (pomdp_py.framework.basics.Environment attribute) transition_models (pomdp_py.framework.oopomdp.OOTransitionModel attribute) TransitionModel (class in pomdp_py.framework.basics) (class in pomdp_py.problems.tiger.tiger_problem) tree_stats() (pomdp_py.utils.debugging.TreeDebugger static method), [1] TreeDebugger (class in pomdp_py.utils.debugging), [1] TreeNode (class in pomdp_py.algorithms.po_uct) trial() (in module pomdp_py.problems.tag.experiment)

U

UniformPolicyModel (class in pomdp_py.utils.templates) unittest() (in module pomdp_py.problems.multi_object_search.env.visual) (in module pomdp_py.problems.multi_object_search.models.observation_model) (in module pomdp_py.problems.multi_object_search.problem) (in module pomdp_py.problems.tag.env.visual) up (pomdp_py.utils.misc.special_char attribute) update() (pomdp_py.algorithms.po_rollout.PORollout method) (pomdp_py.algorithms.po_uct.POUCT method) (pomdp_py.algorithms.pomcp.POMCP method) (pomdp_py.framework.basics.Agent method) (pomdp_py.framework.basics.PolicyModel method) (pomdp_py.framework.planner.Planner method) (pomdp_py.problems.multi_object_search.env.visual.MosViz method) (pomdp_py.problems.tag.env.visual.TagViz method) (pomdp_py.utils.interfaces.conversion.PolicyGraph method)

update_agent_belief (pomdp_py.algorithms.po_rollout.PORollout attribute) (pomdp_py.algorithms.pomcp.POMCP attribute) update_histogram_belief() (in module pomdp_py.representations.belief.histogram) update_history() (pomdp_py.framework.basics.Agent method) update_particles_belief() (in module pomdp_py.representations.belief.particles) updates_agent_belief (pomdp_py.algorithms.po_uct.POUCT attribute) updates_agent_belief() (pomdp_py.framework.planner.Planner method)

V

valid_beam() (pomdp_py.problems.multi_object_search.models.components.sensor.Laser2DSensor method) valid_motions() (pomdp_py.problems.multi_object_search.models.components.grid_map.GridMap method) (pomdp_py.problems.tag.models.components.grid_map.GridMap method) valid_pose() (in module pomdp_py.problems.multi_object_search.models.transition_model) (pomdp_py.problems.tag.models.components.grid_map.GridMap method) value (pomdp_py.algorithms.po_uct.TreeNode attribute) (pomdp_py.algorithms.po_uct.VNode attribute) value() (pomdp_py.utils.interfaces.conversion.AlphaVectorPolicy method)

value_init (pomdp_py.algorithms.po_uct.POUCT attribute) ValueIteration (class in pomdp_py.algorithms.value_iteration) values (pomdp_py.representations.distribution.particles.WeightedParticles attribute) vec() (in module pomdp_py.utils.math) vi_pruning() (in module pomdp_py.utils.interfaces.solvers) vline (pomdp_py.utils.misc.special_char attribute) VNode (class in pomdp_py.algorithms.po_uct) VNodeParticles (class in pomdp_py.algorithms.pomcp)

W

warning() (in module pomdp_py.utils.typ) WeightedParticles (class in pomdp_py.representations.distribution.particles) weights (pomdp_py.representations.distribution.particles.WeightedParticles attribute) WEST (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) (pomdp_py.problems.rocksample.cythonize.rocksample_problem.MoveAction attribute), [1], [2], [3] (pomdp_py.problems.rocksample.rocksample_problem.MoveAction attribute)

WEST2D (pomdp_py.problems.multi_object_search.domain.action.MotionAction attribute) WHITE (pomdp_py.utils.typ.bcolors attribute) white() (in module pomdp_py.utils.typ) width (pomdp_py.problems.tag.env.env.TagEnvironment property) within_range() (pomdp_py.problems.multi_object_search.models.components.sensor.Laser2DSensor method) (pomdp_py.problems.multi_object_search.models.components.sensor.Sensor method)

Y

YELLOW (pomdp_py.utils.typ.bcolors attribute)

yellow() (in module pomdp_py.utils.typ)