Multi-agent Monte Carlo Tree Search implementation in C++

Uber's Multi-Agent Routing Value Iteration Network

A collection of resources on attention-based graph neural networks

Partially Observable Process Gym

SpaceX Falcon 9 Box2D continuous-action simulation with traditional and AI controllers.

Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21

Code for the ProteinMPNN paper

Open source implementation of "Neural Message Passing for Quantum Chemistry"

This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

An extension of the PyMARL codebase that includes additional algorithms and environment support

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)

MADDPG in Ray/RLlib

Level-based Foraging (LBF): A multi-agent environment for RL

MATE: the Multi-Agent Tracking Environment.

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

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

A Predator-Prey-Grass multi-agent gridworld environment implemented with Farama's Gymnasium and PettingZoo. Featuring dynamic spawning and deletion and partial observability of agents.

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

Awesome machine learning for combinatorial optimization papers.

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

Line follower robot simulator environment for Open AI Gym.

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

A Gym env for propulsive rocket landing.

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem

The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on…