Research on cooperation and learning in multi-agent system
Cooperation and learning in multi-agent systems (MAS) is of special interest in DAI. This paper presents a cooperation model called MACM that provides a flexible coordination mechanism to support cooperation and learning in MAS. The learning agent adopts model-free distributed Q-learning. By using p...
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| container_end_page | 1162 vol.2 |
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| creator | Shuli Zheng Xiangfeng Luo Zhenghu Luo Jingan Yang |
| description | Cooperation and learning in multi-agent systems (MAS) is of special interest in DAI. This paper presents a cooperation model called MACM that provides a flexible coordination mechanism to support cooperation and learning in MAS. The learning agent adopts model-free distributed Q-learning. By using projection method, the distributed Q-learning algorithm needs less storage space for the Q-table than the classical Q-learning. |
| doi_str_mv | 10.1109/ICOSP.2002.1179995 |
| format | Conference Proceeding |
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This paper presents a cooperation model called MACM that provides a flexible coordination mechanism to support cooperation and learning in MAS. The learning agent adopts model-free distributed Q-learning. 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This paper presents a cooperation model called MACM that provides a flexible coordination mechanism to support cooperation and learning in MAS. The learning agent adopts model-free distributed Q-learning. By using projection method, the distributed Q-learning algorithm needs less storage space for the Q-table than the classical Q-learning.</abstract><pub>IEEE</pub><doi>10.1109/ICOSP.2002.1179995</doi></addata></record> |
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| ispartof | 6th International Conference on Signal Processing, 2002, 2002, Vol.2, p.1159-1162 vol.2 |
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| language | eng |
| recordid | cdi_ieee_primary_1179995 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial intelligence Bayesian methods Centralized control Computer aided instruction Control systems Councils Game theory Intelligent agent Learning Multiagent systems |
| title | Research on cooperation and learning in multi-agent system |
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