There are 3 repositories under multiagent topic.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors
Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)
A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
A framework to empower forecasting using Large Language Models (LLMs)
Code for the paper Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Based on David Silver's paper "Cooperative Pathfinding"
:flying_saucer: An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.
A compilation of the best multi-agent papers
A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks
Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
an implementation of CommNet
Generation of Synthetic Populations Library
Simulink implementation of "A Decentralized Cooperative Control Scheme With Obstacle Avoidance for a Team of Mobile Robots". This project has been done at the request of Zobdeh Modiran Rahneshan Soraya Company in the 2nd Rahneshan Competition.
JavaScript Implementation of Primordial Particle Systems.
This repository is the official implementation of Learning Graphon Mean Field Games and Approximate Nash Equilibria.
Tristam stands for Training Intelligent Sequencer Tool for Adaptative Music.
Tactical BDI Agent Framework for Java
Implementation of projects 0,1,2,3 of Berkeley's AI course
Pacman AI Projects 1,2,3 - UC Berkeley
This is a two-agents simulator for F1TENTH model car, already implemented model predictive control and recurrent neural network as controlling algorithm
A custom environment that implements simplified version of BomberMan game for reinforcement learning experiments.
My solutions to projects 1, 2 & 3 of Berkeley's AI course
Reactive plan execution in multi-agent environments
AI project for Principles & Applications of Artificial Intelligence at AUT.
multi-agent pybox2d environment based off of OpenAI multiagent-particle-envs
AntLR grammer structure of AgentSpeak(L++)
PFE Self Driving Car Simulator
A ROS package for multi-agent SLAM using ROSBots by Husarion