Publications

(2023). Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. In arXiv preprint arXiv:2309.09408.

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(2023). Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. In arXiv preprint arXiv:2310.07218.

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(2022). Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning. In IEEE Robotics and Automation Letters (RA-L).

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(2022). Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. In Conference on Robot Learning (CoRL).

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(2021). Spatio-temporal graph dual-attention network for multi-agent prediction and tracking. In IEEE Transactions on Intelligent Transportation Systems.

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(2021). A safe hierarchical planning framework for complex driving scenarios based on reinforcement learning. In IEEE Conference on Robotics and Automation (ICRA).

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(2020). Interaction-aware behavior planning for autonomous vehicles validated with real traffic data. In Dynamic Systems and Control Conference (DSCC).

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(2019). A Novel Integrated SVM for Fault Diagnosis Using KPCA and GA. In Journal of Physics: Conference Series.

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