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45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
#
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# Copyright (c) 2017 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from typing import Union
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import numpy as np
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from rl_coach.agents.dqn_agent import DQNAgent, DQNAgentParameters
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from rl_coach.core_types import EnvironmentSteps
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from rl_coach.schedules import LinearSchedule
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class DDQNAgentParameters(DQNAgentParameters):
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def __init__(self):
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super().__init__()
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self.algorithm.num_steps_between_copying_online_weights_to_target = EnvironmentSteps(30000)
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self.exploration.epsilon_schedule = LinearSchedule(1, 0.01, 1000000)
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self.exploration.evaluation_epsilon = 0.001
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@property
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def path(self):
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return 'rl_coach.agents.ddqn_agent:DDQNAgent'
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# Double DQN - https://arxiv.org/abs/1509.06461
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class DDQNAgent(DQNAgent):
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def __init__(self, agent_parameters, parent: Union['LevelManager', 'CompositeAgent']=None):
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super().__init__(agent_parameters, parent)
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def select_actions(self, next_states, q_st_plus_1):
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return np.argmax(self.networks['main'].online_network.predict(next_states), 1)
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