amlgym package

Subpackages

• amlgym.algorithms package
  • Submodules
  • amlgym.algorithms.ActiveAlgorithmAdapter module
    • ActiveAlgorithmAdapter
      • ActiveAlgorithmAdapter.input_domain_path
      • ActiveAlgorithmAdapter.learn()
  • amlgym.algorithms.InformationGainAgent module
    • InformationGainAgent
      • InformationGainAgent.epsilon
      • InformationGainAgent.input_domain_path
      • InformationGainAgent.learn()
      • InformationGainAgent.learn_negative_preconditions
      • InformationGainAgent.lookahead_depth
      • InformationGainAgent.lookahead_discount
      • InformationGainAgent.lookahead_top_k
      • InformationGainAgent.mcts_iterations
      • InformationGainAgent.mcts_rollout_depth
      • InformationGainAgent.model_mode
      • InformationGainAgent.selection_strategy
      • InformationGainAgent.spare_objects_per_type
      • InformationGainAgent.temperature
      • InformationGainAgent.use_object_subset
  • amlgym.algorithms.NOLAM module
    • NOLAM
      • NOLAM.learn()
      • NOLAM.noise
  • amlgym.algorithms.OLAM module
    • OLAM
      • OLAM.input_domain_path
      • OLAM.learn()
      • OLAM.max_goals
      • OLAM.max_length
      • OLAM.max_subproblems
      • OLAM.planning_timeout
  • amlgym.algorithms.OffLAM module
    • OffLAM
      • OffLAM.learn()
  • amlgym.algorithms.PassiveAlgorithmAdapter module
    • PassiveAlgorithmAdapter
      • PassiveAlgorithmAdapter.learn()
  • amlgym.algorithms.ROSAME module
    • ROSAME
      • ROSAME.learn()
  • amlgym.algorithms.RandomAgent module
    • RandomAgent
      • RandomAgent.input_domain_path
      • RandomAgent.learn()
  • amlgym.algorithms.SAM module
    • SAM
      • SAM.learn()
  • Module contents
    • get_algorithm()
    • print_algorithms()
• amlgym.benchmarks package
  • Module contents
    • get_domain()
    • get_domain_names()
    • get_domain_path()
    • get_problems_path()
    • get_test_states()
    • get_trajectories()
    • get_trajectories_path()
    • print_domains()
• amlgym.metrics package
  • Module contents
    • applicability()
    • predicted_effects()
    • predictive_power()
    • print_metrics()
    • problem_solving()
    • syntactic_precision()
    • syntactic_recall()
• amlgym.modeling package
  • Submodules
  • amlgym.modeling.UPEnv module
    • UPEnv
      • UPEnv.__init__()
      • UPEnv.applicable_actions()
      • UPEnv.apply()
      • UPEnv.ground_actions
      • UPEnv.problem
  • amlgym.modeling.env module
    • Env
      • Env.applicable_actions()
      • Env.apply()
  • amlgym.modeling.trajectory module
    • Trajectory
      • Trajectory.actions
      • Trajectory.states
      • Trajectory.write()
  • Module contents
• amlgym.util package
  • Submodules
  • amlgym.util.SimpleDomainReader module
    • Operator
    • SimpleDomainReader
      • SimpleDomainReader.clean_pddl_domain_file()
      • SimpleDomainReader.empty()
      • SimpleDomainReader.get_op_relevant_predicates()
      • SimpleDomainReader.init_prec_eff()
      • SimpleDomainReader.read()
      • SimpleDomainReader.read_object_types_hierarchy()
      • SimpleDomainReader.read_operators()
      • SimpleDomainReader.read_predicates()
      • SimpleDomainReader.write()
  • amlgym.util.gen_problems module
    • problem_barman()
    • problem_blocksworld()
    • problem_childsnack()
    • problem_depots()
    • problem_driverlog()
    • problem_elevators()
    • problem_ferry()
    • problem_floortile()
    • problem_goldminer()
    • problem_grid()
    • problem_grippers()
    • problem_hanoi()
    • problem_matchingbw()
    • problem_miconic()
    • problem_nomystery()
    • problem_npuzzle()
    • problem_parking()
    • problem_rovers()
    • problem_satellite()
    • problem_sokoban()
    • problem_spanner()
    • problem_tpp()
    • problem_transport()
    • problem_visitall()
    • problem_zenotravel()
  • amlgym.util.gen_probs_solving module
  • amlgym.util.gen_states_predictability module
    • generate_traj()
    • replan()
  • amlgym.util.gen_trajs_learning module
    • generate_traj()
    • replan()
  • amlgym.util.gen_trajs_learning_hard module
    • generate_traj()
    • replan()
  • amlgym.util.gen_trajs_predictability module
    • generate_traj()
    • replan()
  • amlgym.util.util module
    • compare_trajs()
    • empty_domain()
    • fix_domain_format()
    • get_applicable_actions_val()
    • preprocess_trace()
    • print_actions_with_no_effs()
    • reduce_problem_settings()
    • remove_trajs()
  • Module contents

Module contents