Networked Control of Nonlinear Systems under Partial Observation Using Continuous Deep Q-Learning. - Junya Ikemoto; Toshimitsu Ushio (CDC, 2019)

Model-free Control of Chaos with Continuous Deep Q-learning. - Junya Ikemoto; Toshimitsu Ushio (CoRR, 2019)

Control of Discrete-Time Chaotic Systems with Policy-Based Deep Reinforcement Learning. - Junya Ikemoto; Toshimitsu Ushio (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems. - Junya Ikemoto; Toshimitsu Ushio (CoRR, 2021)

Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications. - Junya Ikemoto; Toshimitsu Ushio (ETFA, 2022)

Deep Reinforcement Learning Under Signal Temporal Logic Constraints Using Lagrangian Relaxation. - Junya Ikemoto; Toshimitsu Ushio (IEEE Access, 2022)