[Research] CORL: Offline Reinforcement Learning Library

Happy to announce CORL — a library that provides high-quality single-file implementations of Deep **Offline** Reinforcement Learning algorithms and uses Weights and Biases to track experiments.

* SOTA algorithms (Decision Transformer, AWAC, BC, CQL, IQL, TD3+BC, SAC-N, EDAC)
* Benchmarked on widely used D4RL datasets (results match performances reported in the original papers, sometimes even with better results)
* Configs with hyperparameters for better reproduction
* Weights&Biases logs for all of the experiments (so that you don’t have to solely …

corl library machinelearning offline reinforcement reinforcement learning research