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20242026
most citedOffline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing

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cs.LG2026

Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning

Luc McCutcheon, Evangelos Chatzaroulas, Saber Fallah

Neural networks are hindered by accumulating dormant neurons and loss of expressivity throughout training, particularly in non-stationary data settings, such as continual supervise…

cs.LG2025

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies

Iman Sharifi, Mustafa Yildirim, Saber Fallah

Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets. Howeve…