8 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
4 papers
Optimal control barrier functions for RL based safe powertrain control
Habtamu Hailemichael, Beshah Ayalew, Andrej Ivanco
Reinforcement learning (RL) can improve control performance by seeking to learn optimal control policies in the end-use environment for vehicles and other systems. To accomplish th…
Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System
Habtamu Hailemichael, Beshah Ayalew, Lindsey Kerbel +2
Reinforcement learning (RL)-based driver assistance systems seek to improve fuel consumption via continual improvement of powertrain control actions considering experiential data f…
Safety Filtering for Reinforcement Learning-based Adaptive Cruise Control
Habtamu Hailemichael, Beshah Ayalew, Lindsey Kerbel +2
Reinforcement learning (RL)-based adaptive cruise control systems (ACC) that learn and adapt to road, traffic and vehicle conditions are attractive for enhancing vehicle energy eff…
Residual Policy Learning for Powertrain Control
Lindsey Kerbel, Beshah Ayalew, Andrej Ivanco +1
Eco-driving strategies have been shown to provide significant reductions in fuel consumption. This paper outlines an active driver assistance approach that uses a residual policy l…