An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents

Junjie Qi, Siqi Mao, Tianyi Tan
8/19/2025
cs.MAcs.AI

No confident code implementation found for this paper.

Abstract

We propose an improved algorithm by identifying and encouraging cooperative behavior in multi-agent environments. First, we analyze the shortcomings of existing algorithms in addressing multi-agent reinforcement learning problems. Then, based on the existing algorithm MADDPG, we introduce a new parameter to increase the reward that an agent can obtain when cooperative behavior among agents is identified. Finally, we compare our improved algorithm with MADDPG in environments from PettingZoo. The results show that the new algorithm helps agents achieve both higher team rewards and individual rewards.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

N-Agent Ad Hoc Teamwork

89% match2 repos292024

Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help

88% match2023

CoDreamer: Communication-Based Decentralised World Models

87% match2024

A Generalist Hanabi Agent

87% match2026

LLM Collaboration With Multi-Agent Reinforcement Learning

86% match1 repo1092025

Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning

86% match1 repo72024

Cite this paper

@article{qi2025improved,
  title  = {An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents},
  author = {Junjie Qi and Siqi Mao and Tianyi Tan},
  year   = {2025},
  eprint = {2508.14131},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.14131v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2508.14131.svg)](https://codeofpaper.com/paper/2508.14131)

Discussion