https://github.com/instadeepai/awesome-marl

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
https://github.com/instadeepai/awesome-marl

List: awesome-marl

awesome-list deep-learning marl multi-agent-reinforcement-learning papers reinforcement-learning

Last synced: 3 months ago
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A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

• Host: GitHub
• URL: https://github.com/instadeepai/awesome-marl
• Owner: instadeepai
• Created: 2022-02-23T14:00:30.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-20T06:59:49.000Z (almost 2 years ago)
• Last Synced: 2024-05-20T03:00:44.364Z (6 months ago)
• Topics: awesome-list, deep-learning, marl, multi-agent-reinforcement-learning, papers, reinforcement-learning
• Homepage:
• Size: 2.59 MB
• Stars: 43
• Watchers: 12
• Forks: 8
• Open Issues: 17
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-marl-engineering - Awesome MARL

README

        
# Awesome MARL: [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

There has been substantial growth in the field of Multi-Agent Reinforcement Learning (MARL) in recent years. MARL covers a wide variety of problem fields which are constantly in a state of flux.

This is a collection of review papers for MARL and evaluation methods for RL in general. We sort papers by publication date and survey subtopic. Any additions to this repo are welcome. Although our current focus is more on evaluation, this repository aims to include all relevant subtopics related to MARL.

## Overview

* [Survey Papers](/Survey%20Papers/README.md)

  * [Older Surveys](/Survey%20Papers/Shallow%20learning/README.md)

    * These surveys contain papers up to the year 2012. Typically they are publications that predate the mass adoption of the deep learning paradigm...

  * [Deep learning Surveys](/Survey%20Papers/Deep%20learning/README.md)

    * These surveys were done after the mass adoption of deep learning in reinforcement learning and begin in 2014...

* [Research Papers (WIP)](/Research%20Papers/README.md)

  * [Older papers](/Research%20Papers/Shallow%20learning/README.md)

    * These papers are before the year 2015. Typically they are publications that predate the mass adoption of the deep learning...

  * [Deep learning papers](/Research%20Papers/Deep%20learning/README.md)

    * These papers were published after the mass adoption of deep learning in multi-agent settings starting in 2015...