Author

Ze-Wei Yang

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Preprint Sep 2026

Learning Reliable Parking Policies via Offline Reinforcement Learning with Quantized Action Representations

Parking is a routine yet safety-critical task for autonomous vehicles operating in urban environments. However, cluttered and weakly structured parking spaces, compounded by the interactive uncertainty from surrounding vehicles, hinder reliable maneuver generation. To address these challenges, we develop a waypoint-lev...

Ze-Wei Yang, Zeng-Qi Peng, Jun Ma · 0 citations

Preprint Sep 2026

Continuous Actions from Discrete Minds: Latent-Aligned Planning for End-to-End Autonomous Driving

Bridging the gap between the discrete reasoning of Vision-Language Models and the continuous, physics-constrained nature of autonomous driving remains a significant challenge. In this work, we introduce LaPla, a unified Vision-Language-Action (VLA) framework featuring latent-aligned planning to seamlessly ground semant...

Ruo-Yu Yao, Yu-Sen Xie, Qing-Zhao Liu et al. · 0 citations