2 citations · 2 across the 3 of their papers we have counts for
3 papers
Safe Exploration Method for Reinforcement Learning under Existence of Disturbance
Yoshihiro Okawa, Tomotake Sasaki, Hitoshi Yanami +1
Recent rapid developments in reinforcement learning algorithms have been giving us novel possibilities in many fields. However, due to their exploring property, we have to take the…
Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction
Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane
In reinforcement learning (RL) algorithms, exploratory control inputs are used during learning to acquire knowledge for decision making and control, while the true dynamics of a co…
Two-step reinforcement learning for model-free redesign of nonlinear optimal regulator
Mei Minami, Yuka Masumoto, Yoshihiro Okawa +2
In many practical control applications, the performance level of a closed-loop system degrades over time due to the change of plant characteristics. Thus, there is a strong need fo…