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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2021-02-22 14:40 |
Online |
Online |
A Study on the Application of Curriculum Learning in Deep Reinforcement Learning
-- action acquisition in shooting game AI as an example -- Ikumi Kodaka, Fumiaki Saito (CIT) AI2020-47 |
Deep reinforcement learning is attracting attention because it can be applied to higher-dimensional environments compare... [more] |
AI2020-47 pp.47-52 |
IN |
2021-01-19 10:55 |
Online |
Online |
A Study on Humanization Elements for Enabling Game AI to Behave Human-like in Othello Yuta Yoshida, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2020-51 |
Currently, there are researches on the "strength" of game AIs in various games. In previous researches, a game AI's beha... [more] |
IN2020-51 pp.43-48 |
IN |
2021-01-19 11:20 |
Online |
Online |
A Study on AI's Degree of General Purpose Towards Realizing AGI by Adaptive Selection of Narrow AIs Masumi Kurono, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2020-52 |
As the performance of computers has improved, many researches on Artificial Intelligence (AI) have been conducted as an ... [more] |
IN2020-52 pp.49-54 |
NLP, NC (Joint) |
2020-01-25 16:25 |
Okinawa |
Miyakojima Marine Terminal |
Reinforcement learning of communication strategy between players of the game of Contract Bridge Yotaro Yamaguchi, Sotetsu Koyamada, Ken Nakae, Shin Ishii (Kyoto Univ.) NLP2019-111 |
Contract bridge (bridge) is a card game in which four players are divided into two teams and cooperate with a partner to... [more] |
NLP2019-111 pp.131-134 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-18 13:30 |
Okinawa |
Okinawa Institute of Science and Technology |
Hybrid Reinforcement and Imitation Learning for Human-Like Agents Rousslan Fernand Julien Dossa, Xinyu Lian (Kobe Uni), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Uni) NC2019-16 IBISML2019-14 |
Reinforcement learning methods achieve performance superior to humans in a wide range of complex tasks and uncertain env... [more] |
NC2019-16 IBISML2019-14 pp.69-74(NC), pp.91-96(IBISML) |
IN |
2018-01-23 14:25 |
Aichi |
WINC AICHI |
Community Extraction Using Online Battle Data for Game AIs Capable to Infer Imperfect Information Ryohei Watanabe, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2017-87 |
In these days, playing video games competitively, called “e-sports,” is getting in fashion. But most of video games are ... [more] |
IN2017-87 pp.91-96 |
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