| Presentation | 2004/10/12 Adaptation of the Online Policy-Improving System by using a Mixture Model of Bayesian Networks to Dynamic Environments Daisuke KITAKOSHI, Hiroyuki SHIOYA, Ryohei NAKANO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have proposed a system improving reinforcement learning agents' policies by using a mixture model of Bayesian Networks (BNs). Each BN in the mixture model corresponds to a stochastic knowledge of an environment. In this paper, we introduce autonomous mechanisms for recognizing changes of environments, and for learning mixing rates of BNs in the mixture model, to the above system. Computer simulations in the agent navigation problem are carried out in order to discuss the adaptability of our online policy-improving system to dynamic environments and properties of the policy-improving procedure. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Mixture model of Bayesian Networks / Stochastic knowledge / Policy-improving system / Profit sharing |
| Paper # | NC2004-71 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/10/12(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) | Adaptation of the Online Policy-Improving System by using a Mixture Model of Bayesian Networks to Dynamic Environments |
| Sub Title (in English) | |
| Keyword(1) | Mixture model of Bayesian Networks |
| Keyword(2) | Stochastic knowledge |
| Keyword(3) | Policy-improving system |
| Keyword(4) | Profit sharing |
| 1st Author's Name | Daisuke KITAKOSHI |
| 1st Author's Affiliation | Graduate School of Engineering, Nagoya Institute of Technology() |
| 2nd Author's Name | Hiroyuki SHIOYA |
| 2nd Author's Affiliation | Faculty of Engineering, Muroran Institute of Technology |
| 3rd Author's Name | Ryohei NAKANO |
| 3rd Author's Affiliation | Graduate School of Engineering, Nagoya Institute of Technology |
| Date | 2004/10/12 |
| Paper # | NC2004-71 |
| Volume (vol) | vol.104 |
| Number (no) | 349 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |