Train transformer language models with reinforcement learning.

An educational resource to help anyone learn deep reinforcement learning.

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Massively Parallel Deep Reinforcement Learning. 🔥

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

Reference implementation for DPO (Direct Preference Optimization)

A modular RL library to fine-tune language models to human preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

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

Scalable Multi-Agent RL Training School for Autonomous Driving

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

A parallel framework for population-based multi-agent reinforcement learning.

Reinforcement learning algorithms for MuJoCo tasks

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)

Fast Greedy MAP Inference for DPP

Driving in CARLA using model-free deep reinforcement learning

A Library for Active Preference-based Reward Learning Algorithms

HuaHuoLabel is a multifunctional AI data label tool, which supports data label of five computer vision tasks, including single-category classification, multi-category classification, semantic segme…

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms