pre-release 0.10.0

rl_coach/presets/CartPole_NStepQ.py

@@ -0,0 +1,52 @@
+from rl_coach.agents.n_step_q_agent import NStepQAgentParameters
+from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
+from rl_coach.environments.environment import SelectedPhaseOnlyDumpMethod, MaxDumpMethod
+from rl_coach.environments.gym_environment import MujocoInputFilter, Mujoco
+from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
+from rl_coach.graph_managers.graph_manager import ScheduleParameters
+
+from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
+from rl_coach.filters.reward.reward_rescale_filter import RewardRescaleFilter
+
+####################
+# Graph Scheduling #
+####################
+schedule_params = ScheduleParameters()
+schedule_params.improve_steps = TrainingSteps(10000000000)
+schedule_params.steps_between_evaluation_periods = EnvironmentEpisodes(10)
+schedule_params.evaluation_steps = EnvironmentEpisodes(1)
+schedule_params.heatup_steps = EnvironmentSteps(0)
+
+#########
+# Agent #
+#########
+agent_params = NStepQAgentParameters()
+
+agent_params.algorithm.discount = 0.99
+agent_params.network_wrappers['main'].learning_rate = 0.0001
+agent_params.algorithm.num_steps_between_copying_online_weights_to_target = EnvironmentSteps(100)
+agent_params.input_filter = MujocoInputFilter()
+agent_params.input_filter.add_reward_filter('rescale', RewardRescaleFilter(1/200.))
+
+###############
+# Environment #
+###############
+env_params = Mujoco()
+env_params.level = 'CartPole-v0'
+
+vis_params = VisualizationParameters()
+vis_params.video_dump_methods = [SelectedPhaseOnlyDumpMethod(RunPhase.TEST), MaxDumpMethod()]
+vis_params.dump_mp4 = False
+
+########
+# Test #
+########
+preset_validation_params = PresetValidationParameters()
+preset_validation_params.test = True
+preset_validation_params.min_reward_threshold = 150
+preset_validation_params.max_episodes_to_achieve_reward = 200
+preset_validation_params.num_workers = 8
+
+graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
+                                    schedule_params=schedule_params, vis_params=vis_params,
+                                    preset_validation_params=preset_validation_params)