| Presentation | 1998/3/19 Multiagent reinforcement learning Kei Fukuzawa, Bahman Kerumanshahi, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper deals with determination of multiagent problem using the reinforcement learning. In this study, an actual soccer problem is taking into account with imitating the problem (two sides members, ground, etc.) by a simple model. In this model, ten agents are assigned confronted on the computer:five agents for self-team members and five agents for opposite-team members. From the obtained results of numerical computations, when a plenty of games is repeated, it has been confirmed that each of the agents of self-team have their own activities and have produced their own individual performances in the team, respectively. Furthermore, in this paper a learning method that becomes even more efficient than the conventional reinforcement learning is proposed. Ultimately, in order to verify the effectiveness and validity of the proposed method, and also for verification of learning efficiency, it is compared with conventional method and showed promising results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multiagent / reinforcenment learning / soccer |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multiagent reinforcement learning |
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| Keyword(1) | multiagent |
| Keyword(2) | reinforcenment learning |
| Keyword(3) | soccer |
| 1st Author's Name | Kei Fukuzawa |
| 1st Author's Affiliation | Tokyo Metropolitan University() |
| 2nd Author's Name | Bahman Kerumanshahi |
| 2nd Author's Affiliation | Tokyo Metropolitan University |
| Date | 1998/3/19 |
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| Volume (vol) | vol.97 |
| Number (no) | 623 |
| Page | pp.pp.- |
| #Pages | 5 |
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