An elegant PyTorch offline reinforcement learning library for researchers.
Decision Transformer: A brand new Offline RL Pattern.
Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting
Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"
Code for NeurIPS 2023 paper Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
The official code of "Adversarial Counterfactual Environment Model Learning" (NeurIPS'23 spotlight)
An Official Pytorch Implementation of Meta-Controller (NeurIPS 2024)
Stateful implementations of OPE algorithms, designed for use in the development of offline RL models
Robust Offline Reinforcement Learning from Contaminated Demonstrations
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