Presentation | 2004/1/22 A Study on the State Space Reconfiguration in the Agent's Action Space Naoya ARIFUKU, Yoshinobu KAJIKAWA, Yasuo NOMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Agent learning in the environment where agent's position information is continuous values needs much time if the position values are used as state recognition of the agents. Hence, the agent's programers have divided the position information into arbitrary discrete states in advance. However, it may not guarantee that the number of state space is optimum for agents. This paper therefore proposes dynamic state space generation from state space divided in advance by using the Cluster Analysis. At the same time, the timing of state space generation should be determined by information obtainable during actions. We therefore use the Redisual Entropy evolving action uncertainty. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Reinforcement learning / Multivariate analysis / State space reconfiguration / Labyrinth problem |
Paper # | AI2003-65 |
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Conference Information | |
Committee | AI |
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Conference Date | 2004/1/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on the State Space Reconfiguration in the Agent's Action Space |
Sub Title (in English) | |
Keyword(1) | Reinforcement learning |
Keyword(2) | Multivariate analysis |
Keyword(3) | State space reconfiguration |
Keyword(4) | Labyrinth problem |
1st Author's Name | Naoya ARIFUKU |
1st Author's Affiliation | Faculty of Engineering, Kansai University() |
2nd Author's Name | Yoshinobu KAJIKAWA |
2nd Author's Affiliation | Faculty of Engineering, Kansai University:Frontier Science Center, Kansai University |
3rd Author's Name | Yasuo NOMURA |
3rd Author's Affiliation | Faculty of Engineering, Kansai University |
Date | 2004/1/22 |
Paper # | AI2003-65 |
Volume (vol) | vol.103 |
Number (no) | 623 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |