[3O5-OS-16c] OS-16

Thu. May 30, 2024 3:30 PM - 4:50 PM Room O (Music studio hall)

オーガナイザ：鈴木雅大（東京大学）、岩澤有祐（東京大学）、河野慎（東京大学）、熊谷亘（東京大学）、松嶋達也（東京大学）、森友亮（株式会社スクウェア・エニックス）、松尾豊（東京大学）

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3:30 PM - 3:50 PM

[3O5-OS-16c-01] Simulation of Wisconsin Card Sorting Task by using Recurrent Neural Network based on free energy principle

〇Daik Goto¹, Hayato Idei^1,2, Tetsuya Ogata^1,3 (1. Waseda University, 2. National Center of Neurology and Psychiatry, 3. National Institute of Advanced Industrial Science and Technology)

3:50 PM - 4:10 PM

[3O5-OS-16c-02] Deep Active Inference with Reconstructive and Contrastive Learning

〇Kentaro Fujii¹, Shingo Murata¹ (1. Keio University)

4:10 PM - 4:30 PM

[3O5-OS-16c-03] Policy Selection by a Real-World Robot Based on Preference Precision in Deep Active Inference

〇Ko Igari¹, Kentaro Fujii¹, Shingo Murata¹ (1. Keio University)

4:30 PM - 4:50 PM

[3O5-OS-16c-04] Large-Scale Indoor Search Engine with Multimodal Foundation Models and Relaxing Contrastive Loss

〇Yuto Imai¹, Kanta Kaneda¹, Ryosuke Korekata¹, Komei Sugiura¹ (1. Keio University)

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