| 2025 | AISTATS | Variational Adversarial Training Towards Policies with Improved Robustness. | Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic |
| 2024 | AAAI | Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. | Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu |
| 2024 | BSN | StressFADS: Learning Latent Autonomic Factors of Stress in the Context of Trauma Recall and Neuromodulation. | Asim Hossain Gazi, Michael Chan, Hao-Lun Hsu, J. Douglas Bremner, Christopher J. Rozell, Omer T. Inan |
| 2024 | ICRA | REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances. | Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic |
| 2024 | IROS | Steering Decision Transformers via Temporal Difference Learning. | Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic |
| 2022 | ICRA | Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. | Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha |