Presentation 2022-03-28
A Study on Applying Game Balancing Method Using Deep Reinforcement Learning to Pokemon
Ryohei Okamura, Atsuo Ozaki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a method to automatically adjust the game balance of video games using rein-forcement learning. The problem with conventional methods is that they ignore the inherent strategic nature and depth of competitive games. In the proposed method, the number of moves in a game can be adjusted to a comfortable value using game refinement.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Game balance / Game-Refinement Theory / Deep Reinforcement Learning
Paper # MSS2021-61,NLP2021-132
Date of Issue 2022-03-21 (MSS, NLP)

Conference Information
Committee MSS / NLP
Conference Date 2022/3/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) MSS, NLP, Work In Progress (MSS only), and etc.
Chair Atsuo Ozaki(Osaka Inst. of Tech.) / Takuji Kosaka(Chukyo Univ.)
Vice Chair Shingo Yamaguchi(Yamaguchi Univ.) / Akio Tsuneda(Kumamoto Univ.)
Secretary Shingo Yamaguchi(Hokkaido Univ.) / Akio Tsuneda(NEC)
Assistant Masato Shirai(Shimane Univ.) / Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Applying Game Balancing Method Using Deep Reinforcement Learning to Pokemon
Sub Title (in English)
Keyword(1) Game balance
Keyword(2) Game-Refinement Theory
Keyword(3) Deep Reinforcement Learning
1st Author's Name Ryohei Okamura
1st Author's Affiliation Osaka Institute of Technology(OIT)
2nd Author's Name Atsuo Ozaki
2nd Author's Affiliation Osaka Institute of Technology(OIT)
Date 2022-03-28
Paper # MSS2021-61,NLP2021-132
Volume (vol) vol.121
Number (no) MSS-443,NLP-444
Page pp.pp.33-36(MSS), pp.33-36(NLP),
#Pages 4
Date of Issue 2022-03-21 (MSS, NLP)