vwxyzjn / cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
http://docs.cleanrl.dev
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Implement Gymnasium-compliant PPO #319

Closed dtch1997 closed 1 year ago

dtch1997 commented 1 year ago

Description

Types of changes

Checklist:

If you are adding new algorithm variants or your change could result in performance difference, you may need to (re-)run tracked experiments. See https://github.com/vwxyzjn/cleanrl/pull/137 as an example PR.

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vwxyzjn commented 1 year ago

Hey @dtch1997 thanks. I still do not have edit access it looks like... Do you see that "allow edits from the maintainers" checkbox?

dtch1997 commented 1 year ago

@vwxyzjn unfortunately not... Screenshot from 2022-11-15 15-39-07

vwxyzjn commented 1 year ago

When you create the PR is there such an option?

dtch1997 commented 1 year ago

Closing as a duplicate of #320