Skip to content

Benchmarked implementations of Offline RL Algorithms.

License

Notifications You must be signed in to change notification settings

LAMDA-RL/OfflineRL-Lib

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

@software{
  offlinerllib,
  author = {Gao, Chen-Xiao and Rui, Kong},
  month = feb,
  title = {{OfflineRL-Lib: Benchmarked Implementations of Offline RL Algorithms}},
  url = {https://github.com/typoverflow/OfflineRL-Lib},
  version = {0.1.5},
  year = {2023}
}

Acknowledgements

We thank CORL for providing finetuned hyper-parameters.