基本概念"/>
多智能体强化学习基本概念
Multi-Agent Reinforcement Learning:Concepts and Challenges
1. Multi-Agent Settings
1.1. Fully cooperative 合作关系
e.g., 机器人协作
1.2. Fully competitive 竞争关系
e.g., 零和博弈,机器人搏斗,捕猎
1.3. Mixed cooperative and competitive
e.g., 足球赛、游戏赛(两队:队间&队内)
1.4. Self-interested 利己主义
e.g., 无人车
2. Terminologies
2.1. S,A,P
2.2. Rewards
2.3. Returns
2.4. Policy Network
2.5. State-Value Function
2.6. Multi-Agent Policy Learning
2.7. 三种架构
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多智能体强化学习基本概念
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