| Presentation | 2021-10-28 Study on rounding error and Learning performance of reinforcement learning model for FPGA implementation Daisuke Oguchi, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the hardware implementation of reinforcement learning (RL) has attracted attention due to its wide range availability. We study a dedicated hardware architecture, which efficiently executes RL algorithm, and its realization in an FPGA. We investigated the learning performance when the bit-length was limited and found that the performance was maintained even when the bit-length was limited to 16, which results in saving circuit resources and power consumption. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Reinforcement Learning / FPGA / Q-learning / Edge Computing |
| Paper # | NC2021-24 |
| Date of Issue | 2021-10-21 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2021/10/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
| Vice Chair | Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
| Secretary | Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR) |
| Assistant | Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on rounding error and Learning performance of reinforcement learning model for FPGA implementation |
| Sub Title (in English) | |
| Keyword(1) | Reinforcement Learning |
| Keyword(2) | FPGA |
| Keyword(3) | Q-learning |
| Keyword(4) | Edge Computing |
| 1st Author's Name | Daisuke Oguchi |
| 1st Author's Affiliation | Tohoku University(Tohoku Univ) |
| 2nd Author's Name | Satoshi Moriya |
| 2nd Author's Affiliation | Tohoku University(Tohoku Univ) |
| 3rd Author's Name | Hideaki Yamamoto |
| 3rd Author's Affiliation | Tohoku University(Tohoku Univ) |
| 4th Author's Name | Shigeo Sato |
| 4th Author's Affiliation | Tohoku University(Tohoku Univ) |
| Date | 2021-10-28 |
| Paper # | NC2021-24 |
| Volume (vol) | vol.121 |
| Number (no) | NC-223 |
| Page | pp.pp.34-39(NC), |
| #Pages | 6 |
| Date of Issue | 2021-10-21 (NC) |