Index

_

__init__() (amlgym.modeling.UPEnv.UPEnv method)

A

actions (amlgym.modeling.trajectory.Trajectory attribute) ActiveAlgorithmAdapter (class in amlgym.algorithms.ActiveAlgorithmAdapter) amlgym module amlgym.algorithms module amlgym.algorithms.ActiveAlgorithmAdapter module amlgym.algorithms.InformationGainAgent module amlgym.algorithms.NOLAM module amlgym.algorithms.OffLAM module amlgym.algorithms.OLAM module amlgym.algorithms.PassiveAlgorithmAdapter module amlgym.algorithms.RandomAgent module amlgym.algorithms.ROSAME module amlgym.algorithms.SAM module amlgym.benchmarks module amlgym.metrics module amlgym.metrics._predictive module amlgym.metrics._solving module amlgym.metrics._syntactic module

amlgym.modeling module amlgym.modeling.env module amlgym.modeling.trajectory module amlgym.modeling.UPEnv module amlgym.util module amlgym.util.gen_problems module amlgym.util.gen_probs_solving module amlgym.util.gen_states_predictability module amlgym.util.gen_trajs_learning module amlgym.util.gen_trajs_learning_hard module amlgym.util.gen_trajs_predictability module amlgym.util.SimpleDomainReader module amlgym.util.util module applicability() (in module amlgym.metrics) (in module amlgym.metrics._predictive) applicable_actions() (amlgym.modeling.env.Env method) (amlgym.modeling.UPEnv.UPEnv method) apply() (amlgym.modeling.env.Env method) (amlgym.modeling.UPEnv.UPEnv method)

C

clean_pddl_domain_file() (amlgym.util.SimpleDomainReader.SimpleDomainReader method)

compare_trajs() (in module amlgym.util.util)

E

empty() (amlgym.util.SimpleDomainReader.SimpleDomainReader method) empty_domain() (in module amlgym.util.util)

Env (class in amlgym.modeling.env) epsilon (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute)

F

fix_domain_format() (in module amlgym.util.util)

G

generate_traj() (in module amlgym.util.gen_states_predictability) (in module amlgym.util.gen_trajs_learning) (in module amlgym.util.gen_trajs_learning_hard) (in module amlgym.util.gen_trajs_predictability) get_algorithm() (in module amlgym.algorithms) get_applicable_actions_val() (in module amlgym.util.util) get_domain() (in module amlgym.benchmarks)

get_domain_names() (in module amlgym.benchmarks) get_domain_path() (in module amlgym.benchmarks) get_op_relevant_predicates() (amlgym.util.SimpleDomainReader.SimpleDomainReader method) get_problems_path() (in module amlgym.benchmarks) get_test_states() (in module amlgym.benchmarks) get_trajectories() (in module amlgym.benchmarks) get_trajectories_path() (in module amlgym.benchmarks) ground_actions (amlgym.modeling.UPEnv.UPEnv property)

I

InformationGainAgent (class in amlgym.algorithms.InformationGainAgent) init_prec_eff() (amlgym.util.SimpleDomainReader.SimpleDomainReader method) input_domain_path (amlgym.algorithms.ActiveAlgorithmAdapter.ActiveAlgorithmAdapter attribute) (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) (amlgym.algorithms.OLAM.OLAM attribute) (amlgym.algorithms.RandomAgent.RandomAgent attribute)

L

learn() (amlgym.algorithms.ActiveAlgorithmAdapter.ActiveAlgorithmAdapter method) (amlgym.algorithms.InformationGainAgent.InformationGainAgent method) (amlgym.algorithms.NOLAM.NOLAM method) (amlgym.algorithms.OffLAM.OffLAM method) (amlgym.algorithms.OLAM.OLAM method) (amlgym.algorithms.PassiveAlgorithmAdapter.PassiveAlgorithmAdapter method) (amlgym.algorithms.RandomAgent.RandomAgent method) (amlgym.algorithms.ROSAME.ROSAME method) (amlgym.algorithms.SAM.SAM method)

learn_negative_preconditions (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) lookahead_depth (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) lookahead_discount (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) lookahead_top_k (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute)

M

max_goals (amlgym.algorithms.OLAM.OLAM attribute) max_length (amlgym.algorithms.OLAM.OLAM attribute) max_subproblems (amlgym.algorithms.OLAM.OLAM attribute) mcts_iterations (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) mcts_rollout_depth (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) model_mode (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) module amlgym amlgym.algorithms amlgym.algorithms.ActiveAlgorithmAdapter amlgym.algorithms.InformationGainAgent amlgym.algorithms.NOLAM amlgym.algorithms.OffLAM amlgym.algorithms.OLAM amlgym.algorithms.PassiveAlgorithmAdapter amlgym.algorithms.RandomAgent amlgym.algorithms.ROSAME amlgym.algorithms.SAM amlgym.benchmarks amlgym.metrics amlgym.metrics._predictive amlgym.metrics._solving amlgym.metrics._syntactic amlgym.modeling amlgym.modeling.env amlgym.modeling.trajectory amlgym.modeling.UPEnv amlgym.util amlgym.util.gen_problems amlgym.util.gen_probs_solving amlgym.util.gen_states_predictability amlgym.util.gen_trajs_learning amlgym.util.gen_trajs_learning_hard amlgym.util.gen_trajs_predictability amlgym.util.SimpleDomainReader amlgym.util.util

N

noise (amlgym.algorithms.NOLAM.NOLAM attribute)

NOLAM (class in amlgym.algorithms.NOLAM)

O

OffLAM (class in amlgym.algorithms.OffLAM)

OLAM (class in amlgym.algorithms.OLAM) Operator (class in amlgym.util.SimpleDomainReader)

P

PassiveAlgorithmAdapter (class in amlgym.algorithms.PassiveAlgorithmAdapter) planning_timeout (amlgym.algorithms.OLAM.OLAM attribute) predicted_effects() (in module amlgym.metrics) (in module amlgym.metrics._predictive) predictive_power() (in module amlgym.metrics) (in module amlgym.metrics._predictive) preprocess_trace() (in module amlgym.util.util) print_actions_with_no_effs() (in module amlgym.util.util) print_algorithms() (in module amlgym.algorithms) print_domains() (in module amlgym.benchmarks) print_metrics() (in module amlgym.metrics) problem (amlgym.modeling.UPEnv.UPEnv attribute) problem_barman() (in module amlgym.util.gen_problems) problem_blocksworld() (in module amlgym.util.gen_problems) problem_childsnack() (in module amlgym.util.gen_problems) problem_depots() (in module amlgym.util.gen_problems) problem_driverlog() (in module amlgym.util.gen_problems) problem_elevators() (in module amlgym.util.gen_problems) problem_ferry() (in module amlgym.util.gen_problems)

problem_floortile() (in module amlgym.util.gen_problems) problem_goldminer() (in module amlgym.util.gen_problems) problem_grid() (in module amlgym.util.gen_problems) problem_grippers() (in module amlgym.util.gen_problems) problem_hanoi() (in module amlgym.util.gen_problems) problem_matchingbw() (in module amlgym.util.gen_problems) problem_miconic() (in module amlgym.util.gen_problems) problem_nomystery() (in module amlgym.util.gen_problems) problem_npuzzle() (in module amlgym.util.gen_problems) problem_parking() (in module amlgym.util.gen_problems) problem_rovers() (in module amlgym.util.gen_problems) problem_satellite() (in module amlgym.util.gen_problems) problem_sokoban() (in module amlgym.util.gen_problems) problem_solving() (in module amlgym.metrics) (in module amlgym.metrics._solving) problem_spanner() (in module amlgym.util.gen_problems) problem_tpp() (in module amlgym.util.gen_problems) problem_transport() (in module amlgym.util.gen_problems) problem_visitall() (in module amlgym.util.gen_problems) problem_zenotravel() (in module amlgym.util.gen_problems)

R

RandomAgent (class in amlgym.algorithms.RandomAgent) read() (amlgym.util.SimpleDomainReader.SimpleDomainReader method) read_object_types_hierarchy() (amlgym.util.SimpleDomainReader.SimpleDomainReader method) read_operators() (amlgym.util.SimpleDomainReader.SimpleDomainReader method) read_predicates() (amlgym.util.SimpleDomainReader.SimpleDomainReader method) reduce_problem_settings() (in module amlgym.util.util)

remove_trajs() (in module amlgym.util.util) replan() (in module amlgym.util.gen_states_predictability) (in module amlgym.util.gen_trajs_learning) (in module amlgym.util.gen_trajs_learning_hard) (in module amlgym.util.gen_trajs_predictability) ROSAME (class in amlgym.algorithms.ROSAME)

S

SAM (class in amlgym.algorithms.SAM) selection_strategy (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute) SimpleDomainReader (class in amlgym.util.SimpleDomainReader) spare_objects_per_type (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute)

states (amlgym.modeling.trajectory.Trajectory attribute) syntactic_precision() (in module amlgym.metrics) (in module amlgym.metrics._syntactic) syntactic_recall() (in module amlgym.metrics) (in module amlgym.metrics._syntactic)

T

temperature (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute)

Trajectory (class in amlgym.modeling.trajectory)

U

UPEnv (class in amlgym.modeling.UPEnv)

use_object_subset (amlgym.algorithms.InformationGainAgent.InformationGainAgent attribute)

V

validate_plan() (in module amlgym.metrics._solving)

W

write() (amlgym.modeling.trajectory.Trajectory method) (amlgym.util.SimpleDomainReader.SimpleDomainReader method)