Collisions in Multiple Dimensions: Problem Solving
Multi-input and Multi-variable systems
Reinforcement Schedules
Associative Learning
Coordination Number and Geometry
Collisions in Multiple Dimensions: Introduction
您也可能阅读
通过共同作者、期刊和引用图与本文相关的文章。
Zhiyuan Li1, Lijun Wu1, Kaile Su2
1School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
我们介绍了深度运动系统 (DMS),这是一种基于推断的多代理强化学习 (MARL) 的方法. DMS使代理人能够有效地协调,只使用本地信息,克服集中培训,分散执行和独立学习的局限性.
科学领域:
背景情况:
研究的目的:
主要方法:
主要成果:
结论: