[1N3] [General Session] 2. Machine Learning

Tue. Jun 5, 2018 5:20 PM - 7:00 PM Room N (2F Sakurajima)

座長:松井藤五郎（中部大学）

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5:20 PM - 5:40 PM

[1N3-01] Excluding the Data with Exploration from Supervised Learning Improves Neural Fictitious Self-Play

〇Keigo Kawamura¹, Jun Suzuki^2,3, Yoshimasa Tsuruoka⁴ (1. Graduate School of Engineering, The University of Tokyo, 2. NTT Communication Science Laboratories, NTT Corporation, 3. RIKEN Center for Advanced Intelligence Project, 4. Graduate School of Information Science and Technology, The University of Tokyo)

5:40 PM - 6:00 PM

[1N3-02] Estimation of a non-linear reward function using score-based inverse reinforcement learning

〇Natsumi Watanabe¹, Gakuto Masuyama², Kazunori Umeda¹ (1. Chuo University, 2. Meijo University)

6:00 PM - 6:20 PM

[1N3-03] Toward satisficing in general reinforcement learning

〇Kuniaki Satori¹, Yutaka Yoshida¹, Kenta Yamagishi¹, Yuya Ushida², Takumi Kamiya², Tatsuji Takahashi¹ (1. Tokyo Denki University, 2. Graduate School of Tokyo Denki Univerity)

6:20 PM - 6:40 PM

[1N3-04] Hybird Learning Using Profit Sharing and Genetic Algorithm -Task Division Performance in MDP Environments-

〇Kohei Suzuki¹, Shohei Kato^1,2 (1. Nagoya Institute of Technology, 2. Frontier Research Institute for Information Science, Nagoya Institute of Technology)

6:40 PM - 7:00 PM

[1N3-05] Inverse Reinforcement Learning with BDI Agents for Pedestrian Behavior Simulation

〇Nahum Alvarez¹, Itsuki Noda¹ (1. The National Institute of Advanced Industrial Science and Technology (AIST))

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