3 papers
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…
eess.SY2025
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.RO2024
Enhanced Visual SLAM for Collision-free Driving with Lightweight Autonomous Cars
Zhihao Lin, Zhen Tian, Qi Zhang +2
The paper presents a vision-based obstacle avoidance strategy for lightweight self-driving cars that can be run on a CPU-only device using a single RGB-D camera. The method consist…