本项目旨在根据英文书籍、综述论文，梳理多智能体强化学习(Multi-Agent RL)的相关知识点。在内容深度上，希望能够对MARL领域内的博弈论及其解法，还有MARL常见算法类型能够均有深入梳理；在内容广度上，希望能够涵盖博弈论、单智能体强化学习、多智能体强化学习，以及多智能体强化学习的挑战。
| 章节 | 进度 |
|---|---|
| 第一章 强化学习简介 | 更新中 |
| 第二章 博弈：多智能体之间交互的模型 | 更新中 |
| 第三章 博弈的解概念 | 更新中 |
| 第四章 多智能体强化学习：概览 | 更新中 |
| 第五章 多智能体强化学习：基础算法 | |
| 第六章 多智能体强化学习：算法进阶 | |
| 第七章：多智能体环境 |
注： 与该项目有关的意见以及建议可以联系[email protected]
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本作品采用知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议进行许可。
注：默认使用CC 4.0协议，也可根据自身项目情况选用其他协议
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