offline-rl

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

An offline deep reinforcement learning library

An index of algorithms for offline reinforcement learning (offline-rl)

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

DI-engine docs (Chinese and English)

A Japanese (Riichi) Mahjong AI Framework

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).

Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"

A comprehensive guide to Reinforcement Learning

Clean single-file implementation of offline RL algorithms in JAX

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

🔥 Datasets and env wrappers for offline safe reinforcement learning

ExORL: Exploratory Data for Offline Reinforcement Learning

A large-scale multi-modal pre-trained model

official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)

An out-of-the-box GUI tool for offline deep reinforcement learning

Reinforcement Learning Short Course