Projects

  1. Adaptive-Critical: Identifying Critical States for Risk-Sensitive Navigation via Distributional Reinforcement Learning
    Adaptive-Critical: Identifying Critical States for Risk-Sensitive Navigation via Distributional Reinforcement Learning
    Zhaofan Zhang, Sihong Xie†, Hui Xiong†
    IROS, 2026
    Adaptive-Critical, a state-dependent risk-sensitive framework that transcends fixed heuristics by integrating distributional criticality signals with sensory cues, enabling robust navigation under partial observability and environmental uncertainty.
    Paper Code Project Page