Deep Reinforcement Learning with Linear Quadratic Regulator Regions

Gabriel I. Fernandez, Colin Togashi, Dennis W. Hong +1

Practitioners often rely on compute-intensive domain randomization to ensure reinforcement learning policies trained in simulation can robustly transfer to the real world. Due to u…