Two-step reinforcement learning for model-free redesign of nonlinear optimal regulator

1 code implementation • 5 Mar 2021 • Mei Minami, Yuka Masumoto, Yoshihiro Okawa, Tomotake Sasaki, Yutaka Hori

To overcome this limitation, we propose a model-free two-step design approach that improves the transient learning performance of RL in an optimal regulator redesign problem for unknown nonlinear systems.

Offline RL reinforcement-learning +1