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SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
https://slm-lab.gitbook.io/slm-lab/
MIT License
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Fast eval option
#391
Closed
kengz
closed
5 years ago
kengz
commented
5 years ago
Faster evaluation alternative
introduce
TrackReward
env wrapper as a simpler way to track total reward. This also works naturally with vec env.
retire obsolete custom
total_reward
tracking logic
refactor
body.ckpt
logic and env logic
add backward-compatible
meta.rigorous_eval: int
spec to use rigorous slow eval, or fast eval by inferring
total_reward
directly from env
Faster evaluation alternative
TrackReward
env wrapper as a simpler way to track total reward. This also works naturally with vec env.total_reward
tracking logicbody.ckpt
logic and env logicmeta.rigorous_eval: int
spec to use rigorous slow eval, or fast eval by inferringtotal_reward
directly from env