Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving

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Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models

Z Zhang, P Karkus, M Igl, W Ding, Y Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
Traffic simulation aims to learn a policy for traffic agents that, when unrolled in closed-loop,
faithfully recovers the joint distribution of trajectories observed in the real world. Inspired by …
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LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning

HM Ahmad, D Morle, A Rahimi - arxiv preprint arxiv:2501.04861, 2025 - arxiv.org
Deep learning models have demonstrated remarkable performance across various
computer vision tasks, yet their vulnerability to distribution shifts remains a critical challenge …
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