Abstract:
Tis paper presents two-layer reinforcement learning method for multi-agent cooperation. This method is mainly realized by adding two-layer reinforcement learning unit to every agent. A experiment that three agents raise a round object by cooperation has been done. The result shows that the agents cooperate better than the agents using traditional reinforcement learning .
摘要: 提出了多智能体协作的两层强化学习方法。该方法主要通过在单个智能体中构筑两层强化学习单元来实现,将该方法应用于3个智能体协作抬起圆形物体的计算机模拟中,结果表明比采用传统强化学习方法的智能体协作得更好。
关键词:
强化学习,
Q学习,
多智能体,
协作
CLC Number:
CHEN Xuejiang, YANG Dongyong, FAN Rongzhen. Implementing Method of Two-layer Reinforcement Based on Multi-agent Cooperation Learning[J]. , 2005, 31(03): 196-198.
陈雪江,杨东勇,范荣真. 多智能体协作的两层强化学习实现方法[J]. , 2005, 31(03): 196-198.