DLR-RM/stable-baselines3
GitHub ã§èŠã[Feature Request] independently configurable learning rates for actor and critic
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#338 opened on 2021幎3æ3æ¥
enhancementhelp wanted
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説æ
ð Feature
independently configurable learning rates for actor and critic in AC-style algorithms
Motivation
In literature the actor is often configured to learn slower, such that the critics responses are more reliable. At least it would be nice if i could allow my hyperparameter optimizer to decide which learning rates he wants to use for actor or critic.
Pitch
Additional context
https://spinningup.openai.com/en/latest/algorithms/ddpg.html#documentation-pytorch-version