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6d40ad1650
* updating the documentation website * adding the built docs * update of api docstrings across coach and tutorials 0-2 * added some missing api documentation * New Sphinx based documentation
39 lines
1.6 KiB
Python
39 lines
1.6 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 rl_coach.exploration_policies.additive_noise import AdditiveNoise, AdditiveNoiseParameters
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class ContinuousEntropyParameters(AdditiveNoiseParameters):
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@property
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def path(self):
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return 'rl_coach.exploration_policies.continuous_entropy:ContinuousEntropy'
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class ContinuousEntropy(AdditiveNoise):
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"""
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Continuous entropy is an exploration policy that is actually implemented as part of the network.
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The exploration policy class is only a placeholder for choosing this policy. The exploration policy is
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implemented by adding a regularization factor to the network loss, which regularizes the entropy of the action.
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This exploration policy is only intended for continuous action spaces, and assumes that the entire calculation
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is implemented as part of the head.
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.. warning::
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This exploration policy expects the agent or the network to implement the exploration functionality.
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There are only a few heads that actually are relevant and implement the entropy regularization factor.
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"""
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pass
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