pre-release 0.10.0

rl_coach/presets/Doom_Basic_DQN.py

@@ -0,0 +1,57 @@
+from rl_coach.agents.dqn_agent import DQNAgentParameters
+from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
+from rl_coach.environments.environment import SelectedPhaseOnlyDumpMethod, MaxDumpMethod
+from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
+from rl_coach.graph_managers.graph_manager import ScheduleParameters
+from rl_coach.memories.memory import MemoryGranularity
+from rl_coach.schedules import LinearSchedule
+
+from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
+from rl_coach.environments.doom_environment import DoomEnvironmentParameters
+
+####################
+# 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(1000)
+
+
+#########
+# Agent #
+#########
+agent_params = DQNAgentParameters()
+agent_params.memory.max_size = (MemoryGranularity.Transitions, 5000)
+agent_params.network_wrappers['main'].learning_rate = 0.00025
+agent_params.algorithm.num_steps_between_copying_online_weights_to_target = EnvironmentSteps(1000)
+agent_params.exploration.epsilon_schedule = LinearSchedule(0, 0, 50000)
+agent_params.exploration.evaluation_epsilon = 0
+agent_params.algorithm.num_consecutive_playing_steps = EnvironmentSteps(1)
+agent_params.network_wrappers['main'].replace_mse_with_huber_loss = False
+
+
+###############
+# Environment #
+###############
+env_params = DoomEnvironmentParameters()
+env_params.level = 'basic'
+
+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 = 20
+preset_validation_params.max_episodes_to_achieve_reward = 400
+
+
+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)