Module Expr Str ImportFrom alias alias ImportFrom alias ImportFrom alias ImportFrom alias ImportFrom alias Import alias identifier ImportFrom alias Assign NameStore Dict Str Str Str Call AttributeLoad NameLoad attr Str Num Num Num Call AttributeLoad NameLoad attr Str Call AttributeLoad NameLoad attr Num Call AttributeLoad NameLoad attr Num Call AttributeLoad NameLoad attr Str Call AttributeLoad NameLoad attr Num Call AttributeLoad NameLoad attr Num FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam defaults Num Str Num Num Num body Assign NameStore Dict Assign SubscriptStore NameLoad Index Str NameLoad Assign SubscriptStore NameLoad Index Str NameLoad Assign SubscriptStore NameLoad Index Str Num Assign SubscriptStore NameLoad Index Str Num Assign SubscriptStore NameLoad Index Str Num Assign NameStore Call NameLoad keyword Num Assign SubscriptStore NameLoad Index Str NameLoad Assign NameStore Call NameLoad NameLoad keyword NameLoad Assign NameStore Call NameLoad NameLoad keyword Num Assign SubscriptStore NameLoad Index Str Call NameLoad NameLoad NameLoad keyword AttributeLoad NameLoad attr keyword Num keyword NameLoad keyword Str keyword NameLoad Assign NameStore Call NameLoad NameLoad Return NameLoad decorator_list If CompareEq NameLoad Str body ImportFrom alias Assign NameStore Call NameLoad Num Expr Call AttributeLoad NameLoad attr keyword NameLoad Expr Call AttributeLoad NameLoad attr
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Cart-pole balancing with independent discretization
 rlpy.Domains.FiniteTrackCartPole FiniteCartPoleBalanceOriginal FiniteCartPoleBalanceModern rlpy.Agents Q_Learning rlpy.Representations * rlpy.Policies eGreedy rlpy.Experiments Experiment N/A numpy np hyperopt hp N/A param_space N/A discretization boyan_N0 initial_learn_rate N/A N/A hp quniform discretization 5 50 1 N/A N/A hp loguniform boyan_N0 N/A N/A np log 10.0 N/A N/A np log 100000.0 N/A N/A hp loguniform initial_learn_rate N/A N/A np log 0.05 N/A N/A np log 1 make_experiment N/A N/A exp_id path boyan_N0 initial_learn_rate discretization N/A 1 ./Results/Temp/{domain}/{agent}/{representation}/ 119 0.06 34 N/A N/A opt N/A N/A N/A opt N/A path path N/A N/A opt N/A exp_id exp_id N/A N/A opt N/A max_steps 30000 N/A N/A opt N/A num_policy_checks 20 N/A N/A opt N/A checks_per_policy 1 N/A domain N/A FiniteCartPoleBalanceOriginal good_reward 0.0 N/A N/A opt N/A domain domain N/A representation N/A IncrementalTabular domain discretization discretization N/A policy N/A eGreedy representation epsilon 0.1 N/A N/A opt N/A agent N/A Q_Learning policy representation discount_factor N/A domain discount_factor lambda_ 0.9 initial_learn_rate initial_learn_rate learn_rate_decay_mode boyan boyan_N0 boyan_N0 N/A experiment N/A Experiment opt N/A experiment N/A N/A N/A __name__ __main__ N/A rlpy.Tools.run run_profiled N/A experiment N/A make_experiment 1 N/A N/A N/A experiment run visualize_learning False N/A N/A N/A experiment plot