Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Self-Determination of Previous States Based on Experience Saturation and Decision Uniqueness. - Tokio Katakura; Mikihiro Yoshida; Haruki Hisano; Hajime Mushiake; Kazuhiro Sakamoto (Frontiers Comput. Neurosci., 2021)

State-Self-Determining Reinforcement Learning for Adapting to Unknown Environments and Elucidating Higher Brain Functions. - Kazuhiro Sakamoto; Tokio Katakura; Naoki M. Tamura; Nao Matsumoto (ICMLC, 2024)