Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding Siyuan Xu, Minghui Zhu International Conference on Machine Learning (ICML 2025).
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu, Minghui Zhu Neural Information Processing Systems (NeurIPS 2024).
Online Constrained Meta-Learning: Provable Guarantees for Generalization Siyuan Xu, Minghui Zhu Neural Information Processing Systems (NeurIPS 2023), Spotlight, Top 3.6%.
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu, Minghui Zhu AAAI Conference on Artificial Intelligence (AAAI 2023), Oral.
Meta Value Learning for Fast Policy-Centric Optimal Motion Planning Siyuan Xu, Minghui Zhu Robotics: Science and Systems (RSS) 2022.
Federated Reinforcement Learning for Generalizable Motion Planning Zhenyuan Yuan, Siyuan Xu, Minghui Zhu American Control Conference (ACC) 2023.
Secure Perception-Driven Control of Mobile Robots Using Chaotic Encryption Xu Zhang, Zhenyuan Yuan, Siyuan Xu, Yang Lu, Minghui Zhu American Control Conference (ACC) 2021.
All-time Safety and Sample-efficient Meta Update in Online Safe Meta Reinforcement Learning Zhenyuan Yuan, Siyuan Xu, Minghui Zhu Machine Learning, 2025.
Federated Reinforcement Learning for Robot Motion Planning with Zero-Shot Generalization Zhenyuan Yuan, Siyuan Xu, Minghui Zhu Automatica, 2024.
Secure Perception-Driven Control of Mobile Robots Using Chaotic Encryption Xu Zhang, Zhenyuan Yuan, Siyuan Xu, Yang Lu, Minghui Zhu IEEE Transactions on Automatic Control, 2023.