pre-release 0.10.0

rl_coach/presets/Doom_Basic_DFP.py

@@ -0,0 +1,51 @@
+from rl_coach.agents.dfp_agent import DFPAgentParameters, HandlingTargetsAfterEpisodeEnd
+from rl_coach.base_parameters import VisualizationParameters
+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.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(50)
+schedule_params.evaluation_steps = EnvironmentEpisodes(3)
+
+# There is no heatup for DFP. heatup length is determined according to batch size. See below.
+
+#########
+# Agent #
+#########
+agent_params = DFPAgentParameters()
+schedule_params.heatup_steps = EnvironmentSteps(agent_params.network_wrappers['main'].batch_size)
+
+agent_params.network_wrappers['main'].learning_rate = 0.0001
+agent_params.exploration.epsilon_schedule = LinearSchedule(0.5, 0, 10000)
+agent_params.exploration.evaluation_epsilon = 0
+
+# this works better than the default which is 64
+agent_params.algorithm.num_consecutive_playing_steps = EnvironmentSteps(1)
+
+agent_params.algorithm.use_accumulated_reward_as_measurement = True
+agent_params.algorithm.goal_vector = [0, 1]  # ammo, accumulated_reward
+agent_params.algorithm.handling_targets_after_episode_end = HandlingTargetsAfterEpisodeEnd.LastStep
+
+
+###############
+# 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
+
+graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
+                                    schedule_params=schedule_params, vis_params=vis_params)