Yoshiki Miyauchi

According to our database, Yoshiki Miyauchi authored at least 10 papers between 2021 and 2023.

Collaborative distances:

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

2023

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks.

Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto

ACM Trans. Evol. Learn. Optim., June, 2023

Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers.

Kouki Wakita, Yoshiki Miyauchi, Youhei Akimoto, Atsuo Maki

CoRR, 2023

Ship trajectory planning method for reproducing human operation at ports.

Rin Suyama, Yoshiki Miyauchi, Atsuo Maki

CoRR, 2023

Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization.

Hinata Edo, Yoshiki Miyauchi, Atsuo Maki, Youhei Akimoto

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control.

Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki

ACM Trans. Evol. Learn. Optim., 2022

Experimental Low-speed Positioning System with VecTwin Rudder for Automatic Docking (Berthing).

Dimas M. Rachman, Yusuke Aoki, Yoshiki Miyauchi, Naoya Umeda, Atsuo Maki

CoRR, 2022

Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning.

Kouki Wakita, Youhei Akimoto, Dimas M. Rachman, Yoshiki Miyauchi, Umeda Naoya, Atsuo Maki

CoRR, 2022

2021

Warm-started Semionline Trajectory Planner for Ship's Automatic Docking (Berthing).

Dimas M. Rachman, Atsuo Maki, Yoshiki Miyauchi, Naoya Umeda

CoRR, 2021

System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES.

Yoshiki Miyauchi, Atsuo Maki, Naoya Umeda, Dimas M. Rachman, Youhei Akimoto

CoRR, 2021

On Neural Network Identification for Low-Speed Ship Maneuvering Model.

Kouki Wakita, Atsuo Maki, Umeda Naoya, Yoshiki Miyauchi, Tohga Shimoji, Dimas M. Rachman, Youhei Akimoto

CoRR, 2021