Mixed double precision for PPO algorithm #155
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Mixed precision
Motivation:
Inspired by RLGames, we implemented automatic mixed double precision to boost performance of PPO.
Sources:
https://pytorch.org/docs/stable/amp.html
https://pytorch.org/docs/stable/notes/amp_examples.html
Speed eval:
Big neural network (units: [2048, 1024, 1024, 512])
10000 steps
Running on top of Oige env simulation (constant for each run)
Skrl uses single forward pass implementation
* in this run mixed precision was used also for inference during data collection phase
Quality eval: