Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder. - Kohei Ohashi; Kosuke Nakanishi; Wataru Sasaki; Yuji Yasui; Shin Ishii (IEEE Access, 2021)

Deep Adversarial Reinforcement Learning Method to Generate Control Policies Robust Against Worst-Case Value Predictions. - Kohei Ohashi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii (IEEE Access, 2023)

Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images. - Kohei Ohashi; Yukihiro Nagatani; Makoto Yoshigoe; Kyohei Iwai; Keiko Tsuchiya; Atsunobu Hino; Yukako Kida; Asumi Yamazaki; Takayuki Ishida (J. Digit. Imaging, 2023)

Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems. - Kohei Ohashi; Kosuke Nakanishi; Nao Goto; Yuji Yasui; Shin Ishii (IEEE Access, 2024)