Multiagent reinforcement learning for a planetary exploration multirobot system
文献类型：会议论文
| 作者 | Zhang Z(张政); Ma SG(马书根) ; Cao BG(曹秉刚); Zhang LP(张力平); Li B(李斌)
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| 出版日期 | 2006 |
| 会议名称 | 9th Pacific Rim International Workshop on Multi-Agents |
| 会议日期 | August 7-8, 2006 |
| 会议地点 | Guilin, China |
| 页码 | 339-350 |
| 中文摘要 | In a planetary rover system called "SMC rover", the motion coordination between robots is a key problem to be solved. Multiagent reinforcement learning methods for multirobot coordination strategy learning are investigated. A reinforcement learning based coordination mechanism is proposed for the exploration system. Four-robot climbing a slope is studied in detail as an instance. The actions of the robots are divided into two layers and realized respectively, which simplified the complexity of the climbing task. A Q-Learning based multirobot coordination strategy mechanism is proposed for the climbing mission. An OpenGL 3D simulation platform is used to verify the strategy and the learning results. |
| 收录类别 | SCI ; EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | AGENT COMPUTING AND MULTI-AGENT SYSTEMS
 |
| 会议录出版者 | SPRINGER-VERLAG |
| 会议录出版地 | BERLIN |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 3-540-36707-1 |
| WOS记录号 | WOS:000239626100033 |
| 研究领域[WOS] | Computer Science |
| WOS标题词 | Science & Technology ; Technology |
| 源URL | [http://ir.sia.cn/handle/173321/8794]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Zhang Z,Ma SG,Cao BG,et al. Multiagent reinforcement learning for a planetary exploration multirobot system[C]. 见:9th Pacific Rim International Workshop on Multi-Agents. Guilin, China. August 7-8, 2006. |
入库方式： OAI收割
来源：沈阳自动化研究所
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