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c9738280fd
* Change build_*_env jobs to pull base image of current "tag" instead of "master" image * Change nightly flow so build_*_env jobs now gated by build_base (so change in previous bullet works in nightly) * Bugfix in CheckpointDataStore: Call to object.__init__ with parameters * Disabling unstable Doom A3C and ACER golden tests
56 lines
2.3 KiB
Python
56 lines
2.3 KiB
Python
from rl_coach.agents.acer_agent import ACERAgentParameters
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from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
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from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps
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from rl_coach.environments.doom_environment import DoomEnvironmentParameters
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from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
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from rl_coach.graph_managers.graph_manager import ScheduleParameters
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from rl_coach.memories.memory import MemoryGranularity
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from rl_coach.filters.filter import InputFilter
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from rl_coach.filters.reward.reward_rescale_filter import RewardRescaleFilter
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####################
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# Graph Scheduling #
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####################
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schedule_params = ScheduleParameters()
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schedule_params.improve_steps = TrainingSteps(10000000000)
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schedule_params.steps_between_evaluation_periods = EnvironmentEpisodes(10)
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schedule_params.evaluation_steps = EnvironmentEpisodes(1)
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schedule_params.heatup_steps = EnvironmentSteps(0)
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#########
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# Agent #
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#########
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agent_params = ACERAgentParameters()
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agent_params.algorithm.num_steps_between_gradient_updates = 30
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agent_params.algorithm.apply_gradients_every_x_episodes = 1
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agent_params.network_wrappers['main'].learning_rate = 0.0001
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agent_params.algorithm.ratio_of_replay = 4
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agent_params.algorithm.num_transitions_to_start_replay = 2000
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agent_params.memory.max_size = (MemoryGranularity.Transitions, 100000)
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agent_params.input_filter = InputFilter()
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agent_params.input_filter.add_reward_filter('rescale', RewardRescaleFilter(1/100.))
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agent_params.algorithm.beta_entropy = 0.01
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agent_params.network_wrappers['main'].clip_gradients = 40.
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###############
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# Environment #
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###############
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env_params = DoomEnvironmentParameters(level='basic')
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########
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# Test #
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########
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preset_validation_params = PresetValidationParameters()
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# preset_validation_params.test = True
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# preset_validation_params.min_reward_threshold = 20
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# preset_validation_params.max_episodes_to_achieve_reward = 400
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# preset_validation_params.num_workers = 8
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graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
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schedule_params=schedule_params, vis_params=VisualizationParameters(),
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preset_validation_params=preset_validation_params)
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