234 citations · 479 across the 10 of their papers we have counts for
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eess.SY2019★ 234 cited
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control
Yuan Lin, John McPhee, Nasser L. Azad
This study compares Deep Reinforcement Learning (DRL) and Model Predictive Control (MPC) for Adaptive Cruise Control (ACC) design in car-following scenarios. A first-order system i…
eess.SY2019★ 5 cited
Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning
Yuan Lin, John McPhee, Nasser L. Azad
Deep Reinforcement Learning (DRL) is used here for decentralized decision-making and longitudinal control for high-speed on-ramp merging. The DRL environment state includes the sta…
cs.RO2019★ 44 cited
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning
Yuan Lin, John McPhee, Nasser L. Azad
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes…