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Shuai Zhou

2 accepted papers

2025

Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation

IROS 2025

Offline reinforcement learning (RL) has emerged as a promising framework for addressing robot social navigation challenges. However, inherent uncertainties in pedestrian behavior and limited environmental interaction during training often lead to suboptimal exploration and distributional shifts betw

Cited by 0SourceScholar
2025

Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions

AAAI 2025technical

Given a graph representing the workspace, Multi-Agent Path Finding (MAPF) seeks collision-free paths for multiple agents from their respective start vertex to their respective goal vertex while minimizing path costs. Although many MAPF algorithms were developed and can handle up to thousands of agen…