pre-release 0.10.0

rl_coach/presets/ExplorationChain_Dueling_DDQN.py

@@ -0,0 +1,56 @@
+from rl_coach.architectures.tensorflow_components.heads.dueling_q_head import DuelingQHeadParameters
+from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
+from rl_coach.environments.gym_environment import GymEnvironmentParameters
+from rl_coach.filters.filter import NoInputFilter, NoOutputFilter
+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.agents.ddqn_agent import DDQNAgentParameters
+from rl_coach.core_types import EnvironmentEpisodes, EnvironmentSteps
+
+N = 20
+num_output_head_copies = 20
+
+####################
+# Graph Scheduling #
+####################
+
+schedule_params = ScheduleParameters()
+schedule_params.improve_steps = EnvironmentEpisodes(2000)
+schedule_params.steps_between_evaluation_periods = EnvironmentEpisodes(10)
+schedule_params.evaluation_steps = EnvironmentEpisodes(1)
+schedule_params.heatup_steps = EnvironmentSteps(N)
+
+####################
+# DQN Agent Params #
+####################
+agent_params = DDQNAgentParameters()
+agent_params.network_wrappers['main'].learning_rate = 0.00025
+agent_params.network_wrappers['main'].heads_parameters = [DuelingQHeadParameters()]
+agent_params.memory.max_size = (MemoryGranularity.Transitions, 1000000)
+agent_params.algorithm.discount = 0.99
+agent_params.algorithm.num_consecutive_playing_steps = EnvironmentSteps(4)
+agent_params.exploration.epsilon_schedule = LinearSchedule(1, 0.1, (N+7)*2000)
+agent_params.input_filter = NoInputFilter()
+agent_params.output_filter = NoOutputFilter()
+
+###############
+# Environment #
+###############
+env_params = GymEnvironmentParameters()
+env_params.level = 'rl_coach.environments.toy_problems.exploration_chain:ExplorationChain'
+env_params.additional_simulator_parameters = {'chain_length': N, 'max_steps': N+7}
+
+vis_params = VisualizationParameters()
+
+
+# preset_validation_params = PresetValidationParameters()
+# preset_validation_params.test = True
+# preset_validation_params.min_reward_threshold = 1600
+# preset_validation_params.max_episodes_to_achieve_reward = 70
+
+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)