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

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A curated list of awesome model based RL resources (continually updated)

Avalanche fork adding RL support

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

This repo contains the Hugging Face Deep Reinforcement Learning Course.

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

FinRL®: Financial Reinforcement Learning. 🔥

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

A curated list of Multi-Modal Reinforcement Learning resources (continually updated)

RLogist = RL (reinforcement learning) + Pathologist

The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning or fine-tuning. Training is reward-free and based on the Fo…

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Original code for the paper "Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping" by Mezghani et al.

MiniWoB++: a web interaction benchmark for reinforcement learning

Unified Reinforcement Learning Framework

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.