Presentation | 2008-03-28 Action Learning by An Artificial Neural Network Risa SHIMADA, Kenya JIN'NO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We would like to understand a learning feature of human. To realize such purpose, we try to learn an action by artificial neural networks. In this article, we consider an operation to load a building block into Tetris as a simple problem which is two dimensional problem. In order to learn an action, we use a supervised learning algorithm and a reinforcement learning algorith. For the supervised learning, namely, backpropergation algorithm, our numerical simulation result indicates that we cannot get a desired learning reslut. However, we confirm that the reinforcement learning algorithm conduces to a desired learning result which the block can be moved toward to the lowest location. Based on the result of reinforcement learning, we modify the backpropagation algorithm. Consequently, we confirm that the backpropagation algorithm endows the neural network with a generalized ability. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / back propagation / reinforcement learning / Tetris |
Paper # | NLP2007-170 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2008/3/21(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 | 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) | Action Learning by An Artificial Neural Network |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | back propagation |
Keyword(3) | reinforcement learning |
Keyword(4) | Tetris |
1st Author's Name | Risa SHIMADA |
1st Author's Affiliation | Department of Network and Multi-Media Engineering, Faculty of Engineering, Kanto Gakuin University() |
2nd Author's Name | Kenya JIN'NO |
2nd Author's Affiliation | Department of Network and Multi-Media Engineering, Faculty of Engineering, Kanto Gakuin University |
Date | 2008-03-28 |
Paper # | NLP2007-170 |
Volume (vol) | vol.107 |
Number (no) | 561 |
Page | pp.pp.- |
#Pages | 6 |
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