There are 1 repository under marl topic.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Multi-Agent Reinforcement Learning (MARL) papers with code
A collection of MARL benchmarks based on TorchRL
POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
Multi-Agent Reinforcement Learning (MARL) papers
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
A tool for aggregating and plotting MARL experiment data.
A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
Emergence of complex strategies through multiagent competition
This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
无人机动态覆盖控制;1. 实现了一个无人机点覆盖环境;2. 给出了无人机连通保持规则;3. 给出了基于MARL的控制算法
A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).
Unity로 멀티 에이전트 강화학습(MARL) 수행하기 위한 프레임 워크 제공
PPO and PyMARL baseline for Pogema environment
Multi-agent reinforcement learning on trains, for Deep Learning class at UNIBO
General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.
Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3DDPG.
This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforcement learning.