| Presentation | 2009-07-14 Speeding up Multi-Agent Reinforcement Learning Using a Ring-Type State Recognition Method Kyohei ONO, Hidehiro NAKANO, Arata MIYAUCHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, design of actions in complex and large-scale robot networks has been required. However, it is difficult to control learning of multiple agents considering each action of them. Especially, as the number of agents increases, the number of states which the agents observe increases exponentially, and the learning speed decreases significantly. In this study, we propose a ring-type state observation method for large-scale multi-agent reinforcement learning. Various network topologies in observing location information of each agent can be considered. Through numerical experiments, these topologies are evaluated in the viewpoints of reduction of states, learning speed and solution quality. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multi-agent system / Reinforcement learning / Network topology |
| Paper # | NLP2009-30,NC2009-23 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2009/7/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Speeding up Multi-Agent Reinforcement Learning Using a Ring-Type State Recognition Method |
| Sub Title (in English) | |
| Keyword(1) | Multi-agent system |
| Keyword(2) | Reinforcement learning |
| Keyword(3) | Network topology |
| 1st Author's Name | Kyohei ONO |
| 1st Author's Affiliation | Tokyo City University() |
| 2nd Author's Name | Hidehiro NAKANO |
| 2nd Author's Affiliation | Tokyo City University |
| 3rd Author's Name | Arata MIYAUCHI |
| 3rd Author's Affiliation | Tokyo City University |
| Date | 2009-07-14 |
| Paper # | NLP2009-30,NC2009-23 |
| Volume (vol) | vol.109 |
| Number (no) | 124 |
| Page | pp.pp.- |
| #Pages | 5 |
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