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Organized Session

Organized Session » OS-31

[3R5-OS-31] OS-31

Thu. May 29, 2025 3:40 PM - 5:20 PM Room R (Room 805)

オーガナイザ：三宅陽一郎（立教大学），濱田直希（KLab）

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3:40 PM - 4:00 PM

[3R5-OS-31-01] Aim of the session

4:00 PM - 4:20 PM

[3R5-OS-31-02] Combining IMPALA and Demonstrations to Solve Problems with Hard Exploration and Large State-Action Spaces

Application examples in Yu-Gi-Oh! MASTER DUEL

〇Sora Satake¹, Soichiro Hattori¹, Naoya Kihara¹ (1. Konami Digital Entertainment Co., Ltd.)

4:20 PM - 4:40 PM

[3R5-OS-31-03] HTN-RL: Designable Game Character AI Using Hierarchical Task Network and Reinforcement Learning

〇Ray Ito Ito¹, Youichiro Miyake¹ (1. The University of Tokyo )

4:40 PM - 5:00 PM

[3R5-OS-31-04] Scenario translation using large-scale language models and GraphRAG

〇Takayuki Shimotomai¹, Jukiya Noda¹, Takushi Kodani¹, Tomoki Takekawa¹, Ryuto Ikeuchi¹, Fuka Shibata¹, Koki Takeishi¹ (1. Headwaters inc.)

5:00 PM - 5:20 PM

[3R5-OS-31-05] Environment recognition by agents using neural networks as a knowledge representation

Knowledge Representation in Neural Network Format

〇YOUICHIRO MIYAKE¹ (1. Rikkyo University)

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