K. Nomoto

Abstract— a Technique Called Time Hopping Is Proposed for Speeding up Reinforcement Learning Algorithms. It Is Applicable to Continuous Optimization Problems Running in Computer Simulations. Making Shortcuts in Time by Hopping between Distant States Combined with Off-policy Reinforcement Learning Al

F. Dong, K. Nomoto, Kaoru Hirota, 2022 .

A document retrieval system based on citations using fuzzy graphs

Tetsuo Kirimoto, Michimasa Kondo, Kohei Nomoto, 1990 .

Fuzzy Thesaurus Generation Algorithm Based on Cross-occurrence Frequency for Similar Case Retrieval

K. Nomoto, Y. Kosuge, W. Kise, 1996 .

Fuzzy thesaurus generation based on cross-index matrix for case-based reasoning

Y. Kosuge, K. Nomoto, K. Nomoto, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

An adaptive tracking filter controlling sampling frequency

T. Kirimoto, M. Kondo, K. Nomoto, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Comparison between Regular Visitors and First-Time Visitors in Spatial Distribution of Gaze Pattern During Walking

K. Nomoto, Tomoya Nagasawa, 2019, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics.

Influence of viewing distance and screen illuminance on preferred luminance of LCD-TV screens

Masaki Yamakawa, Kohei Nomoto, Yoshitomo Nakamura, 2007 .

Similarity measures using fuzzy thesauri for case-based reasoning

Wakasa Kise, Y. Kosuge, K. Nomoto, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Time manipulation technique for speeding up reinforcement learning in simulations pdf

Kaoru Hirota, Fangyan Dong, Petar Kormushev, 2008, ArXiv.

Fuzzy Inference based Mentality Expression for Eye Robot in Affinity Pleasure-Arousal Space

Kaoru Hirota, Yutaka Hatakeyama, Fangyan Dong, 2008, J. Adv. Comput. Intell. Intell. Informatics.