Kohei Ohashi

According to our database, Kohei Ohashi authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems.

Kohei Ohashi, Kosuke Nakanishi, Nao Goto, Yuji Yasui, Shin Ishii

IEEE Access, 2024

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, December, 2023

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

2021

Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder.

Kohei Ohashi, Kosuke Nakanishi, Wataru Sasaki, Yuji Yasui, Shin Ishii

IEEE Access, 2021