〇Taiga Someya^1,2, Tatsuya Ishigaki², Yohei Oseki¹, Ryo Nagata^3,2, Hiroya Takamura² (1. The University of Tokyo, 2. National Institute of Advanced Industrial Science and Technology, 3. Konan University )

Session information

[2M5-GS-10] AI application

[2M5-GS-10-01] Adaptation of Self-Play with Deep Reinforcement Learning in Puyo-Puyo

[2M5-GS-10-02] Traiding Card Game Environments based on deep reinforcement learning

[2M5-GS-10-03] A Self-Supervised Vision Transformer for 3D Motion Retrieval and its Application in Game Development

[2M5-GS-10-04] Rival Shogi AI That Dynamically Adjusts Its Strength to Match the Player

[2M5-GS-10-05] Leveraging Player Embedding for Soccer Event Prediction

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