problems.tag package

Subpackages

• problems.tag.agent package
  • Submodules
  • problems.tag.agent.agent module
    • initialize_belief()
    • initialize_particles_belief()
    • belief_update()
    • TagAgent
      • TagAgent.clear_history()
  • Module contents
• problems.tag.domain package
  • Submodules
  • problems.tag.domain.action module
    • TagAction
  • problems.tag.domain.observation module
    • TagObservation
  • problems.tag.domain.state module
    • TagState
  • Module contents
• problems.tag.env package
  • Submodules
  • problems.tag.env.env module
    • TagEnvironment
      • TagEnvironment.width
      • TagEnvironment.length
      • TagEnvironment.grid_map
      • TagEnvironment.from_str()
  • problems.tag.env.visual module
    • TagViz
      • TagViz.img_width
      • TagViz.img_height
      • TagViz.last_observation
      • TagViz.update()
      • TagViz.draw_robot()
      • TagViz.draw_observation()
      • TagViz.draw_belief()
      • TagViz.on_init()
      • TagViz.on_event()
      • TagViz.on_loop()
      • TagViz.on_render()
      • TagViz.on_cleanup()
      • TagViz.on_execute()
      • TagViz.render_env()
    • unittest()
  • Module contents
• problems.tag.models package
  • Subpackages
    • problems.tag.models.components package
      • Submodules
      • problems.tag.models.components.grid_map module
      • problems.tag.models.components.motion_policy module
      • Module contents
  • Submodules
  • problems.tag.models.observation_model module
    • TagObservationModel
      • TagObservationModel.probability()
      • TagObservationModel.sample()
      • TagObservationModel.argmax()
  • problems.tag.models.policy_model module
    • TagPolicyModel
      • TagPolicyModel.sample()
      • TagPolicyModel.get_all_actions()
      • TagPolicyModel.rollout()
  • problems.tag.models.reward_model module
    • TagRewardModel
      • TagRewardModel.probability()
      • TagRewardModel.sample()
  • problems.tag.models.transition_model module
    • TagTransitionModel
      • TagTransitionModel.if_move_by()
      • TagTransitionModel.probability()
      • TagTransitionModel.sample()
      • TagTransitionModel.argmax()
  • Module contents

Submodules

problems.tag.constants module

problems.tag.example_worlds module

problems.tag.experiment module

Simple experiment to get mean

problems.tag.experiment.trial(worldstr, **kwargs)

problems.tag.experiment.main()

problems.tag.problem module

class problems.tag.problem.TagProblem(init_robot_position, init_target_position, grid_map, pr_stay=0.2, small=1, big=10, prior='uniform', belief_type='hist', num_particles=6)

Bases: POMDP

problems.tag.problem.solve(problem, planner_type='pouct', max_depth=10, discount_factor=0.99, planning_time=1.0, exploration_const=1000, visualize=True, max_time=120, max_steps=500)

problems.tag.problem.main()

Module contents