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Observation and reward normalization #1

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51616 opened this issue Jan 17, 2022 · 0 comments
Open

Observation and reward normalization #1

51616 opened this issue Jan 17, 2022 · 0 comments

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@51616
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51616 commented Jan 17, 2022

I have a question regarding the FACMAC implementation.
Did you use any wrapper such as observation/reward normalization or action clipping/rescaling? 'Cause in the original single-agent mode, the implementation usually use normalization and clipping wrapper for Mujoco tasks. I cannot find any wrapper in this repo so I wonder did you just use raw observation and reward to train the agents?
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@51616