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60 lines
2.1 KiB
Python
60 lines
2.1 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 List
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import numpy as np
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from rl_coach.schedules import Schedule
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from rl_coach.spaces import ActionSpace
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from rl_coach.core_types import RunPhase, ActionType
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from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
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class BoltzmannParameters(ExplorationParameters):
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def __init__(self):
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super().__init__()
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self.temperature_schedule = None
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@property
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def path(self):
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return 'rl_coach.exploration_policies.boltzmann:Boltzmann'
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class Boltzmann(ExplorationPolicy):
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def __init__(self, action_space: ActionSpace, temperature_schedule: Schedule):
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"""
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:param action_space: the action space used by the environment
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:param temperature_schedule: the schedule for the temperature parameter of the softmax
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"""
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super().__init__(action_space)
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self.temperature_schedule = temperature_schedule
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def get_action(self, action_values: List[ActionType]) -> ActionType:
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if self.phase == RunPhase.TRAIN:
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self.temperature_schedule.step()
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# softmax calculation
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exp_probabilities = np.exp(action_values / self.temperature_schedule.current_value)
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probabilities = exp_probabilities / np.sum(exp_probabilities)
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# make sure probs sum to 1
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probabilities[-1] = 1 - np.sum(probabilities[:-1])
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# choose actions according to the probabilities
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return np.random.choice(range(self.action_space.shape), p=probabilities)
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def get_control_param(self):
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return self.temperature_schedule.current_value
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