| Presentation | 2012-07-30 Neuroevolution with Manifold Learning for Mario AT Hisashi HANDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This talk presents a Neuroevolution with Manifold Learning for Mario AI championship. The Manifold Learning method provides a low-dimensional space for a larger number of input scenes in the Mario AI. This talk examines how to cope with scenes before generating the low-dimensional space by the Manifold Learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neuroevolution / Mario AI / Manifold Learning |
| Paper # | NC2012-13 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2012/7/23(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) | Neuroevolution with Manifold Learning for Mario AT |
| Sub Title (in English) | |
| Keyword(1) | Neuroevolution |
| Keyword(2) | Mario AI |
| Keyword(3) | Manifold Learning |
| 1st Author's Name | Hisashi HANDA |
| 1st Author's Affiliation | Faculty of Science and Engineering, Kinki University() |
| Date | 2012-07-30 |
| Paper # | NC2012-13 |
| Volume (vol) | vol.112 |
| Number (no) | 168 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |