[2C5-GS-2] Machine learning: reinforcement learning (2)

Wed. Jun 15, 2022 3:20 PM - 5:00 PM Room C (Room C-2)

座長：内部英治（国際電気通信基礎技術研究所）［現地］

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3:20 PM - 3:40 PM

[2C5-GS-2-01] Incorporating Future Trajectory Supervisions into Sequence Modeling based Reinforcement Learning

〇Terufumi Morishita¹, Gaku Morio¹, Hiroaki Ozaki¹, Nobuo Nukaga¹ (1. Hitachi, Ltd.)

3:40 PM - 4:00 PM

[2C5-GS-2-02] Developing a scalable and simple verification task of deep reinforcement learning

〇Ryuji Ikeda¹, Akane Minami¹, Yu Kono², Tatsuji Takahashi² (1. Graduate School of Tokyo Denki University, 2. School of Science and Engineering, Tokyo Denki University)

4:00 PM - 4:20 PM

[2C5-GS-2-03] Max-Min Off-Policy Actor-Critic with Robustness to Model Misspecification

〇Takumi Tanabe^1,2, Rei Sato^1,2, Kazuto Fukuchi^1,2, Jun Sakuma^1,2, Youhei Akimoto^1,2 (1. University of Tsukuba, 2. RIKEN AIP)

4:20 PM - 4:40 PM

[2C5-GS-2-04] Safe Reinforcement Learning in Continuous State Spaces based on DQN

〇Yuto Ohashi¹, Tohgoroh Matsui², Atsuko Mutoh¹, Koichi Moriyama¹, Nobuhiro Inuzuka¹ (1. Nagoya Institute of Technology, 2. Chubu University)

4:40 PM - 5:00 PM

[2C5-GS-2-05] A Study on Online Learning Based on Bayesian Optimization to Suppress Deterioration of Objective Function Value

〇Yuka Nakamura¹, Taiga Yoshikawa¹, Ayako Yamagiwa¹, Masayuki Goto¹ (1. Waseda University)

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