Abstract: This article proposes a novel robust reinforcement learning framework for discrete-time linear systems with model mismatch that may arise from the sim-to-real gap. A key strategy is to ...

Abstract: This work focuses on tracking and controlling a distributed platoon consisting of heterogeneous vehicles with an output dead-zone and model uncertainties. The influence of the output dead ...