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feature(cxy): add averaged-dqn policy #683
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@@ -53,3 +53,5 @@ | |||
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# new-type policy | |||
from .ppof import PPOFPolicy | |||
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from .averaged_dqn import AveragedDQNPolicy, EnsembleDQNPolicy |
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move it to the old-type policy part
class AveragedDQNPolicy(DQNPolicy): | ||
""" | ||
Overview: | ||
Policy class of Averaged_DQN algorithm. |
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don't add underline here
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# use model_wrapper for specialized demands of different modes | ||
self._target_model_list = copy.deepcopy(self._prime_model_list) | ||
if 'target_update_freq' in self._cfg.learn: |
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only use one type target update here
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def _state_dict_learn(self) -> Dict[str, Any]: | ||
""" |
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polish indent
Description
Adding new policy: averaged-dqn and part of ensemble-dqn.
Related Issue
TODO
Check List