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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
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]
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
11:15
Tokyo Waseda Univ. Generation of behavior of virtual pet corresponding to person's cue using reinforcement learning
Yuki Kohata, Hiroshi Mori, Fubito Toyama, Kneji Shoji (Utsunomiya Univ.)
Symbolic input form is adopted for interaction between conventional people and CG animals. However, in actual human-anim... [more] AIT2019-108
pp.211-212
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]
 Results 1 - 8 of 8  /   
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