| Presentation | 2004/1/19 A model-based reinforcement learning : a functional brain model and an fMRI study (Neurocomputing) Wako YOSHIDA, Shin ISHII, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We, human beings, survive in a dynamic world by predicting the behaviors of the surrounding environment. A model-based reinforcement learning (RL), in which the model of environment is directly estimated, is one of the machine learning schemes to solve an optimal decision making problem in such an environment. In this report, we suggest a possible functional brain model of a model-based RL, in which the dorsolateral prefrontal cortex is involved in maintaining environmental models, and the anterior cingulate cortex is related to the action selection based on the models. We conduct a human fMRI study to examine our model, and find that experimental results are consistent with our functional model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | optimal decision making / model-based reinforcement learning / fMRI / prefrontal cortex |
| Paper # | NC2003-116 |
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| Committee | NC |
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| Conference Date | 2004/1/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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-based reinforcement learning : a functional brain model and an fMRI study (Neurocomputing) |
| Sub Title (in English) | |
| Keyword(1) | optimal decision making |
| Keyword(2) | model-based reinforcement learning |
| Keyword(3) | fMRI |
| Keyword(4) | prefrontal cortex |
| 1st Author's Name | Wako YOSHIDA |
| 1st Author's Affiliation | Nara Institute of Science and Technology:CREST, Japan Science and Technology Corporation() |
| 2nd Author's Name | Shin ISHII |
| 2nd Author's Affiliation | Nara Institute of Science and Technology:CREST, Japan Science and Technology Corporation |
| Date | 2004/1/19 |
| Paper # | NC2003-116 |
| Volume (vol) | vol.103 |
| Number (no) | 601 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |