Game Programming Workshop

Conference Program (Tentative, Ver 2024.10.8, )

Nov.15(Fri)

15:10-15:20 Begining speech

15:20-16:10 Session 1.

1-1(L)Sotaro Ishii, Tetsuro Tanaka (Tokyo Univ.):Estimation of the number of legal positions in Shogi
1-2(S)Tanaka, Kunihito Hoki(UEC): The optimal strategy for two-player gameplay of the card game 'Love Letter'

16:30-17:30 Session 2.

2-1(S)Hiroshi Yamashita: Reinforcement Learning for Ranging Rook in Shogi
2-2(S)Tatsuyoshi Ogawa, Chu-Hsuan Hsueh and Kokolo Ikeda(JAIST):Improvement of Human Win Rate Prediction Accuracy Using Move Probability
2-3(S)Kosuke Ohta, Minoru Nakazawa (Engineering Kanazawa Institute of Technology): Visualization Methods for the Decision-Making Basis of Shogi AI Moves Using Graph Representation

19:00- Night Event 1

Nov.16(Sat)

9:20-10:20 Session 3.

3-1(S)Karen Murakami, Tomoyuki Kaneko(Tokyo Univ.):Improving AlphaZero Reingforcement Learning for partial problem in Game of Go
3-2(S)Chu-Hsuan Hsueh, Kokolo Ikeda (Jaist):Is KataGo HumanSL All You Need for Imitating Human Players' Moves in Go?
3-3(S)Kyota Kuboki, Kokolo Ikeda and Hsueh Chu-Hsuan(JAIST): Calculation of player's multifaceted strength based on a small number of game records

10:40-11:40 Session 4.

4-1(S)Tomoharu Yoshimura, Kazuki Yoshizoe (Kyushu Univ.): Adaptive Agent for various card set in card game 'Dominion'
4-2(S)Hidetoshi Nagai, Teigo Nakamura (Kyushu Institute of Technology): Estimating Player Factions using Reliability-Transition Curves in The Resistance: Avalon
4-3(S)Yurika Nakayama, Kiminori Matsuzaki(Kochi Tech Univ.): Computer Daihinmin player Switching Opponent hand Estimating method

14:00-15:00 Guest Talk.

Koya Ihara:Balancing system for digital collective card games

15:40-16:10 Poster session - flash talk

16:10-17:40 Poster session - main part

P-1 Shuji Fujimoto (Kyoto Univ.): An Agent Playing a Bullet Hell Game Using Reinforcement Learning
P-2 Hikaru Takahashi, Wataru Noguchi, Yasumasa Tamura and Masahito Yamamoto (Hokkaido Univ.):Learning Settlers of Catan by GCN with Heterogeneous Graph Board Representation
P-3 Yu Sato, Kazuki Maeyama, Yuto Mochizuk, et al.(Kogakuin Univ.):Attempts to analyze unbiased mancala
P-4 Shi-Jim Yen(National Dong Hwa University), Yu-Shan Yen(National Taiwan Normal University) and Jr-Chang Chen(National Taipei University): Number Solitaire Game HyperSpaceWorm
P-5 Daisuke Nomura, Asuka Akioka (Meiji Univ.): Incorporating Optimal Tower Placement Search into Player AI for Tower Defense Games
P-6 Genki TAKEUCHI, Masanobu GIDO, Shota NAKAGAWA, Hideki KAKEYA(Tsukuba Univ.):Improvements to DenseNet in Shogi AI and Evaluation of Board State Identification Accuracy
P-7 Yuki Mino, Kunihito Hoki (EUC): Expanding Endgame database for backgamon
P-8 Mizuki Hirano, Yoshimasa Tsuruoka (Tokyo Univ.): Improving CFR performance by distributing policies near Nash equilibrium
P-9 Kazuto Fujita and Shogo Takeuchi (Kochi Tech Univ.): Differences of Feature or Mean value loss between AI and Humans in Shogi
P-10 Takuma Iwasa, Yoshimasa Tsuruoka (Tokyo Univ.): Explainable Puzzle Game AI using Local Explanation
P-11 Tsuyoshi Takano, Hiroshi Kera and Kazuhiko Kawamoto (Chiba Univ.): Improving Atari Game AI Performance with Offline Reinforcement Learning Using Data Augmentation
P-12 Takenobu Takizawa(Waseda Univ.):Contemporary Computer Shog

18:00- Banquet

20:00- Night event 2

Nov. 17(Sun.)

9:00-9:50 Session 5

5-1(L)Hikaru Manabe, Ryohei miyadera, Koki Suetsugu, Syoei Takahashi(Keimei junior high shool, Waseda Univ., Keio Univ.):Generalized Josephus problem and maximum nim
5-2(S)Hiromi Oginuma, Masato Shinoda(Nara women Univ.): Evaluating function for 3-pile Nim

10:10-11:20 Session 6

6-1(L)Kazuki Takahashi, Tomoko Ozeki(Tokai Univ.):Detection of technique in competitive action games using object detection models
6-2(S)Tsubasa Katsumata, Kokolo Ikeda and Chu-Hsuan Hsueh (JAIST):Reproduction of game AI's behavior based on visual field constraints using reinforcement learning
6-3(S)Minoru Yoshikawa, Shogo Takeuchi (Kochi Tech Univ.):Automated Equitable Map Generation for Turn-Based Strategy Games via Genetic Algorithms