Official Code of SMPE: "Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration" - Accepted at ICML 2025

A library of reinforcement learning components and agents

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

PRML Page-by-page配套资料，对PRML全书及各章节的review

Foundation Policies with Hilbert Representations (ICML 2024)

An environment based on JSBSIM aimed at one-to-one close air combat.

Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.

本人的科研经验

The MARL extension for RLlib. A benchmark for research and industry.

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Unofficial Gato: A Generalist Agent

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Implementation of RT1 (Robotic Transformer) in Pytorch

[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

Reinforcement Learning with Latent Flow

Graph Neural Network

Reinforcement Learning in PyTorch

图神经网络相关算法详述及实现

Hopfield Networks is All You Need

Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"

Companion webpage to the book "Mathematics For Machine Learning"

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning