Stars
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
[AAAI2024] A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
Code for MOPO: Model-based Offline Policy Optimization
A collection of paper/projects that trains flow matching model/policies via RL.
Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
Code for ICLR 2025 paper "Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning"
Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
A benchmark for offline goal-conditioned RL and offline RL
HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
The official implementation of "When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning" (ICLR2023)
Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239
Author's PyTorch implementation of BCQ for continuous and discrete actions
[AAAI'2024] Critic-Guided Decision Transformer for Offline Reinforcement Learning
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Multi-Joint dynamics with Contact. A general purpose physics simulator.
A collection of reference environments for offline reinforcement learning