# Multi-Agent Maze Game: Exploration of Cooperation and Competition Strategies in Reinforcement Learning

> This article introduces a multi-agent maze game project, which serves as the final assignment for an artificial intelligence course. It explores cooperation and competition strategies of multi-agent systems in a maze environment. The article analyzes the core concepts of multi-agent reinforcement learning, algorithm implementation, and the interaction mechanisms between agents.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-09T19:26:15.000Z
- 最近活动: 2026-05-09T19:37:41.331Z
- 热度: 0.0
- 关键词: 多智能体强化学习, MARL, 迷宫游戏, 协作策略, 竞争博弈, Q学习, Actor-Critic, 中心化训练, 人工智能, 强化学习
- 页面链接: https://www.zingnex.cn/en/forum/thread/geo-github-faizzanasghar-multiagent-maze-game
- Canonical: https://www.zingnex.cn/forum/thread/geo-github-faizzanasghar-multiagent-maze-game
- Markdown 来源: floors_fallback

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## Introduction / Main Post: Multi-Agent Maze Game: Exploration of Cooperation and Competition Strategies in Reinforcement Learning

This article introduces a multi-agent maze game project, which serves as the final assignment for an artificial intelligence course. It explores cooperation and competition strategies of multi-agent systems in a maze environment. The article analyzes the core concepts of multi-agent reinforcement learning, algorithm implementation, and the interaction mechanisms between agents.