Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 14:30 |
Tokyo |
Tokyo University of Technology |
Card game AI applying reinforcement learning with Unity ML-Agents Tatsuya Watanabe, Junichi Yamamoto (THCU) |
In recent years, there has been active research in game AI, with AI agents reaching the level of professional players in... [more] |
AIT2024-138 pp.375-376 |
IIEEJ, AIT |
2021-10-27 15:40 |
Osaka |
(Primary: On-site, Secondary: Online) |
Acquisition of Human's Memory Mechanism for Video Frames Koki Nishimoto, Kimiaki Shirahama (Kindai Univ.) |
When a video is played back, humans understand the contents while unconsciously deciding whether to memorize each frame.... [more] |
AIT2021-145 pp.17-20 |
ME |
2021-02-27 14:00 |
  |
|
A System for Joining Body Part Motions Using Reinforcement Learning Takumu Matsushita, Asako Soga (Ryukoku Univ) |
In this study, we developed a system for joining body-part motions using reinforcement learning with the aim of supporti... [more] |
ME2021-43 pp.57-58 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 16:20 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
[Special Talk]
Neighbor-Aware Approaches for Pixel Labeling Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT) |
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more] |
|
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28 15:10 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
Unpaired Learning for Noise-free, Scale Invariant, and Interpretable Image Enhancement Satoshi Kosugi, Toshihiko Yamasaki (Univ. of Tokyo) |
This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into ... [more] |
|
BCT, IEEE-BT |
2019-02-21 15:25 |
Shizuoka |
Kanponoyado Yaizu |
User Association in mmWave Networks using Reinforcement Learning Yuva Kumar S., Fereidoun H. Panahi, Tomoaki Ohtsuki (KeioUniv) |
With the advent of the fifth generation (5G) systems, there is an increasing demand for high data rate transmission and ... [more] |
BCT2019-29 pp.25-28 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15 11:30 |
Hokkaido |
Hokkaido Univ. |
Stochastic Discrete Event Simulation Environment for Autonomous Cart Fleet for Artificial Intelligent Training and Reinforcement Learning Algorithms Naohisa Hashimoto, Boyali Ali, Shin Kato (AIST), Takao Otsuka, Kazuhisa Mizushima, Manabu Omae (Keio Univ) |
In this report we give details of a Discrete Event Simulation (DES) framework coded in Python environment for simulation... [more] |
|