[2C4-GS-2] Machine learning: reinforcement learning (1)

Wed. Jun 15, 2022 1:20 PM - 3:00 PM Room C (Room C-2)

座長：谷本啓（NEC）［現地］

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1:20 PM - 1:40 PM

[2C4-GS-2-01] Risk-sensitive Satisficing with local approximation of reliability

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

1:40 PM - 2:00 PM

[2C4-GS-2-02] Stochastic Risk-sensitive Satisificing policy with ideal aspiration level

〇Toshikatsu Kato¹, Yu Kono², Tatsuji Takahashi² (1. Graduate School of Tokyo Denki University, 2. School of Science and Engineering, Tokyo Denki University)

2:00 PM - 2:20 PM

[2C4-GS-2-03] Natural reinforcement learning that takes into account the degree of achievement of the aspiration level

〇Shunpei Koshikawa¹, Shuichi Arimura², Hiroaki Wakabayashi², Yu Kono¹, Tatuji Takahashi¹ (1. Tokyo Denki University, School of Science and Engineering, 2. Graduate School of Tokyo Denki University)

2:20 PM - 2:40 PM

[2C4-GS-2-04] Dynamic estimation of optimal aspiration level in Stochastic Risk-sensitive Satisificing

〇Jun Kume¹, Hiroki Suzuki¹, Toshikatsu Kato², Yu Kono¹, Tatsuji Takahashi¹ (1. School of Science and Engineering, Tokyo Denki University, 2. Graduate School of Tokyo Denki University)

2:40 PM - 3:00 PM

[2C4-GS-2-05] Generalization of Some Reinforcement Learning Formulae to Maximum Entropy Reinforcement Learning

〇Yuki Nakaguchi¹ (1. NEC)

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