activity
20242026
most citedA Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts

16 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

cs.GT2026

Priority Coordination Games: Hodge Decomposition and a Sharp Design Limit

Zhihao Lin, Jianglin Lan, Anh-Tu Nguyen +1

In decentralised priority coordination, agents announce priority levels and a shared resource serves them in decreasing order, as at an unsignalised intersection; the levels form t…

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…

cs.RO2024★ 16 cited

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…