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OfflineRL-Lib

OfflineRL-Lib provides unofficial and benchmarked PyTorch implementations for selected OfflineRL algorithms, including:

For Model-Based algorithms, please check OfflineRL-Kit!

Benchmark Results

  • We benchmark and visualize the result via WandB. Click the following WandB links, and group the runs via the entry task (for offline experiments) or env (for online experiments).
  • Available Runs

Citing OfflineRL-Lib

If you use OfflineRL-Lib in your work, please use the following bibtex

@misc{offinerllib,
  author = {Chenxiao Gao},
  title = {OfflineRL-Lib: Benchmarked Implementations of Offline RL Algorithms},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/typoverflow/OfflineRL-Lib}},
}

Acknowledgements

We thank CORL for providing finetuned hyper-parameters.

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  • Python 100.0%