Highlights
- Pro
RL
PyTorch implementation of the implicit Q-learning algorithm (IQL)
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Homework projects of ESE650@UPenn
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
My personal portfolio of robot learning algorithms
Python Implementation of Reinforcement Learning: An Introduction
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Code for "RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning"
Reference implementation for DPO (Direct Preference Optimization)
A curated list of graph reinforcement learning papers.