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41 lines
1.5 KiB
Python
41 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 exploration_policies.exploration_policy import *
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class ApproximatedThompsonSamplingUsingDropout(ExplorationPolicy):
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def __init__(self, tuning_parameters):
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"""
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:param tuning_parameters: A Preset class instance with all the running paramaters
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:type tuning_parameters: Preset
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"""
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ExplorationPolicy.__init__(self, tuning_parameters)
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self.dropout_discard_probability = tuning_parameters.exploration.dropout_discard_probability
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self.network = tuning_parameters.network
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self.assign_op = self.network.dropout_discard_probability.assign(self.dropout_discard_probability)
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self.network.sess.run(self.assign_op)
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pass
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def decay_dropout(self):
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pass
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def get_action(self, action_values):
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return np.argmax(action_values)
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def get_control_param(self):
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return self.dropout_discard_probability
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