a5228a0dfe
- Added `num_subsample_critics`, `critic_target_update_weight`, and `utd_ratio` to SACConfig. - Implemented target entropy calculation in SACPolicy if not provided. - Introduced subsampling of critics to prevent overfitting during updates. - Updated temperature loss calculation to use the new target entropy. - Added comments for future UTD update implementation. These changes improve the flexibility and performance of the SAC implementation.
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
#!/usr/bin/env python
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# Copyright 2024 The HuggingFace Inc. team.
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# All rights reserved.
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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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from dataclasses import dataclass
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@dataclass
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class SACConfig:
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discount = 0.99
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temperature_init = 1.0
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num_critics = 2
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num_subsample_critics = None
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critic_lr = 3e-4
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actor_lr = 3e-4
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critic_target_update_weight = 0.005
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utd_ratio = 2
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critic_network_kwargs = {
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"hidden_dims": [256, 256],
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"activate_final": True,
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}
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actor_network_kwargs = {
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"hidden_dims": [256, 256],
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"activate_final": True,
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}
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policy_kwargs = {
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"tanh_squash_distribution": True,
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"std_parameterization": "uniform",
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}
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