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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2013-10-18 14:00 |
Tokyo | Sophia Univ. | Q-Learning Based Cell Selection in Heterogeneous Networks Toshihito Kudo, Tomoaki Ohtsuki (Keio Univ.)  RCS2013-167 |
Cell range expansion (CRE) expands a pico cell range virtually by adding a bias value to the pico received power, instea... [more] | RCS2013-167 pp.145-150 |
| ASN, RCS, NS, SR (Joint) |
2013-07-19 14:30 |
Shizuoka | Hamamatsu Act City | A Fuzzy Inference Intelligent Routing Protocol for Vehicular Ad Hoc Networks Celimuge Wu, Satoshi Ohzahata, Toshihiko Kato (Univ. of Electro-Comm.) ASN2013-84 |
Due to vehicle movement, limited wireless resources and lossy feature of wireless channels, providing a reliable multi-h... [more] | ASN2013-84 pp.201-206 |
| CQ, CS (Joint) |
2013-04-19 13:25 |
Niigata | Sado Island Development Center | A MAC protocol to improve QoS in VANETs using contention window adjustment Celimuge Wu, Satoshi Ohzahata, Toshihiko Kato (Univ. of Electro- Comm.) CQ2013-12 |
Packet delivery ratio and end-to-end delay are the two most important QoS (Quality of Service) metrics. In this paper, w... [more] | CQ2013-12 pp.65-70 |
| SR, AN, USN, RCS (Joint) |
2012-10-19 14:55 |
Fukuoka | Fukuoka univ. | A Fuzzy Q-Learning Based Sensing Policy for Cognitive Radio Systems Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2012-155 |
In a cognitive radio (CR) network, the channel sensing scheme to detect the appearance of a primary user (PU) directly a... [more] | RCS2012-155 pp.173-178 |
| RCS | 2012-06-21 13:50 |
Hokkaido | Hakodate City Central Library | Cell Range Expansion Using Distributed Q-Learning in Heterogeneous Networks Toshihito Kudo, Tomoaki Ohtsuki (Keio Univ.) RCS2012-51 |
Heterogeneous networks (HetNets) that put pico base stations (PBSs) in the macro cells are necessary to improve the netw... [more] | RCS2012-51 pp.49-54 |
| NC, IPSJ-BIO [detail] | 2011-06-24 14:40 |
Okinawa | 50th Anniversary Memorial Hall, University of the Ryukyus | Q-learning in Continuous Action-State Space by Using a Selective Desensitization Neural Network Takaaki Kobayashi, Takeshi Shibuya, Fumihide Tanaka, Masahiko Morita (Tsukuba Univ) NC2011-15 |
Value function approximation takes an important role for reinforcement learning in continuous state-action space. Conven... [more] | NC2011-15 pp.119-123 |
| IN, NS (Joint) |
2011-03-03 10:00 |
Okinawa | Okinawa Convention Center | A Study on Reinforcement Learning for Improving Fairness in Lightpath Networks Shu Kobuchi, Takuji Tachibana (NAIST), Sugang Xu (NICT) NS2010-167 |
In lightpath networks, lightpaths whose number of hops is large are not established easily than those whose number of ho... [more] | NS2010-167 pp.25-28 |
| AI | 2009-09-25 16:15 |
Kyoto | Kyoto Univ. Clock Tower | Improvement of team formations according to organizational structures and reorganization Ryota Katayanagi, Toshiharu Sugawara (Waseda Univ.) AI2009-17 |
We propose an effective method of dynamic reorganization using reinforcement learning for the team formation in multi-ag... [more] | AI2009-17 pp.43-48 |
| COMP | 2009-09-14 13:35 |
Tottori | Tottori University of Environmental Studies | Parameter acquisition of an evaluation function for games by reinforcement learning Yasuhiro Tajima (Okayama Pref Univ.) COMP2009-28 |
On finite two-person zero-sum perfect-information games, we can find the best move by minmax search on the game tree wi... [more] |
COMP2009-28 pp.21-26 |
| NC, MBE (Joint) |
2009-03-13 10:45 |
Tokyo | Tamagawa Univ. | Acquirement of a Control Strategy of Echo Cancellers by Reinforcement Learning
-- A Case When the NLMS Algolithm is Used -- Naohito Hakoishi, Kiyoshi Nishiyama (Iwate Univ.) NC2008-152 |
Echo cancellers need not only performance improvement of an adaptive filter but also its control for double talks in pra... [more] | NC2008-152 pp.291-295 |
| NC, MBE (Joint) |
2008-03-13 15:20 |
Tokyo | Tamagawa Univ | Efficiency improvement of reinforce learning using a selective desensitization neural network Masahiko Morita, Tomoyuki Shimbo, Takashi Hasuo, Ken Yamane (Univ. of Tsukuba) NC2007-172 |
Existing reinforcement learning (RL) systems have a serious problem that they require an extremely long time for learnin... [more] | NC2007-172 pp.355-359 |
| MSS | 2008-01-29 13:55 |
Tokushima | The University of Tokushima | A Study on Applying Reinforcement Learning to a Safety Critical System Shinichi Fujiwara, Toshiyuki Miyamoto, Sadatoshi Kumagai (Osaka Univ.) CST2007-53 |
Reinforcement Learning have been attracting many researchers attention as a framework of autonomous cooperative behavior... [more] | CST2007-53 pp.41-46 |
| WIT | 2007-12-05 - 2007-12-06 |
Tokyo | AIST Tokyo Waterfront | Study on the social divide using a reinforcement learning MAS model Nao Ito (Graduate School, Niigata Univ), Yoshinobu Maeda (Niigata Univ) |
In recent years, a "social divide" such as income and professim divides, has noticed as one kind of social issue.It is d... [more] | |
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