🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
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Updated
Sep 19, 2024 - Python
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
A parallel framework for population-based multi-agent reinforcement learning.
Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
Code for the paper Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
基于大语言模型(LLM)和多智能体(Multi-Agent),探究AI写小说能力的边界
🛸 An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.
A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
The fastest way to bring multi-agent workflows to production.
[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors
Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
A collection of multi-agent reinforcement learning OpenAI gym environments
A framework to empower forecasting using Large Language Models (LLMs)
This repository is the official implementation of Learning Graphon Mean Field Games and Approximate Nash Equilibria.
MVP of an idea using multiple local LLM models to simulate and play D&D
an implementation of CommNet
In this project, agents are designed for the classic version of Pacman, including ghosts. Mini-max, Alpha-Beta pruning, Expectimax techniques were used to implement multi-agent pacman adversarial search.
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