63 citations · 81 across the 42 of their papers we have counts for
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eess.SY2019
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving
Ali Baheri, Subramanya Nageshrao, H. Eric Tseng +3
In this paper, we present a safe deep reinforcement learning system for automated driving. The proposed framework leverages merits of both rule-based and learning-based approaches…
eess.SY2019
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems
Ali Baheri, Chris Vermillion
We present a data-driven optimization framework that aims to address online adaptation of the flight path shape for an airborne wind energy system (AWE) that follows a repetitive p…
eess.SY2019
Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study
Ali Baheri, Chris Vermillion
We present a novel data-driven nested optimization framework that addresses the problem of coupling between plant and controller optimization. This optimization strategy is tailore…