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2022

CleanRL v1 Release

🎉 We are thrilled to announce the v1.0.0 CleanRL Release. Along with our CleanRL paper's recent publication in Journal of Machine Learning Research, our v1.0.0 release includes reworked documentation, new algorithm variants, support for google's new ML framework JAX, hyperparameter tuning utilities, and more. CleanRL has come a long way making high-quality deep reinforcement learning implementations easy to understand and reproducible. This release is a major milestone for the project and we are excited to share it with you. Over 90 PRs were merged to make this release possible. We would like to thank all the contributors who made this release possible.

More detailed release notes are available at v1.0.0b1, v1.0.0b2, and v1.0.0.