3 papers
cs.LG2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
Junya Ikemoto, Toshimitsu Ushio
Applications of reinforcement learning (RL) to stabilization problems of real systems are restricted since an agent needs many experiences to learn an optimal policy and may determ…
cs.LG2019
Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning
Junya Ikemoto, Toshimitsu Ushio
In this paper, we propose a design of a model-free networked controller for a nonlinear plant whose mathematical model is unknown. In a networked control system, the controller and…
eess.SY2019
Model-free Control of Chaos with Continuous Deep Q-learning
Junya Ikemoto, Toshimitsu Ushio
The OGY method is one of control methods for a chaotic system. In the method, we have to calculate a stabilizing periodic orbit embedded in its chaotic attractor. Thus, we cannot u…