3 papers
eess.SY2026
Hierarchical Multi-Agent MCTS for Safety-Critical Coordination in Mixed-Autonomy Roundabouts
Zhihao Lin, Jianglin Lan, Shuo Liu +3
Navigating unsignalized roundabouts in mixed-autonomy traffic presents significant challenges due to dense vehicle interactions, lane-changing complexities, and behavioral uncertai…
cs.LG2025
PrefPoE: Advantage-Guided Preference Fusion for Learning Where to Explore
Zhihao Lin, Lin Wu, Zhen Tian +1
Exploration in reinforcement learning remains a critical challenge, as naive entropy maximization often results in high variance and inefficient policy updates. We introduce \textb…
cs.RO2025
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts
Zhihao Lin, Zhen Tian, Jianglin Lan +4
Safety and efficiency are crucial for autonomous driving in roundabouts, especially mixed traffic with both autonomous vehicles (AVs) and human-driven vehicles. This paper presents…