Presentation | 2003/3/12 A Model for a Radial-Arms Maze Task using Reinforcement Learning Susumu Yamazaki, Makoto Ito, Shogo Miyake, Shunji Satoh, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We construct a model of a radial-arms maze task for rats in which a higher function of memory is required. We formulate a radial-arms maze task as a reinforcement learning problem. In this model, agent can successfully learn depnding on past memory by adding feedback to an Actor-Critic method that is one of reinforcement learning algorithms. Simulations show that the model explains a result of the behavioral experiment of a rat well. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | radial-arms maze task / reinforcement learning / Actor-Critic method / feedback |
Paper # | NC2002-224 |
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Committee | NC |
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Conference Date | 2003/3/12(1days) |
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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) | A Model for a Radial-Arms Maze Task using Reinforcement Learning |
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Keyword(1) | radial-arms maze task |
Keyword(2) | reinforcement learning |
Keyword(3) | Actor-Critic method |
Keyword(4) | feedback |
1st Author's Name | Susumu Yamazaki |
1st Author's Affiliation | Department of Applied Physics, Graduate School of Engineering, Tohoku University() |
2nd Author's Name | Makoto Ito |
2nd Author's Affiliation | Department of Neurobiology and Behavior, School of Medicine, Gunma University |
3rd Author's Name | Shogo Miyake |
3rd Author's Affiliation | Department of Applied Physics, Graduate School of Engineering, Tohoku University |
4th Author's Name | Shunji Satoh |
4th Author's Affiliation | Department of Applied Physics, Graduate School of Engineering, Tohoku University |
Date | 2003/3/12 |
Paper # | NC2002-224 |
Volume (vol) | vol.102 |
Number (no) | 731 |
Page | pp.pp.- |
#Pages | 6 |
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