most citedAutomated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment

5 citations · 5 across the 2 of their papers we have counts for

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cs.LG2023

Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics

Gokhan Budan, Francesca Damiani, Can Kurtulus +1

Model identification of battery dynamics is a central problem in energy research; many energy management systems and design processes rely on accurate battery models for efficiency…