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Hao-Lun Hsu
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Year
Improving safety in deep reinforcement learning using unsupervised action planning
HL Hsu, Q Huang, S Ha
2022 International Conference on Robotics and Automation (ICRA), 5567-5573, 2022
112022
Robust Reinforcement Learning through Efficient Adversarial Herding
J Dong, HL Hsu, Q Gao, V Tarokh, M Pajic
arXiv preprint arXiv:2306.07408, 2023
32023
Neuroweaver: a platform for designing intelligent closed-loop neuromodulation systems
P Sarikhani, HL Hsu, O Kara, JK Kim, H Esmaeilzadeh, B Mahmoudi
Brain Stimulation: Basic, Translational, and Clinical Research in …, 2021
32021
Automated Tuning of Closed-loop Neuromodulation Control Systems using Bayesian Optimization
P Sarikhani, HL Hsu, B Mahmoudi
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
22022
Finite-time frequentist regret bounds of multi-agent thompson sampling on sparse hypergraphs
T Jin, HL Hsu, W Chang, P Xu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12956 …, 2024
12024
Reforma: Robust reinforcement learning via adaptive adversary for drones flying under disturbances
HL Hsu, H Meng, S Luo, J Dong, V Tarokh, M Pajic
2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
12024
{\epsilon}-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
HL Hsu, Q Gao, M Pajic
arXiv preprint arXiv:2403.06814, 2024
2024
Sparc: adaptive closed-loop control of vagal nerve stimulation for regulating cardiovascular function using deep reinforcement learning: a computational study
P Sarikhani, HL Hsu, M Zeydabadinezhad, Y Yao, MV Kothare, ...
Neuroscience 2021, 2021
2021
Steering Decision Transformers via Temporal Difference Learning
HL Hsu, AK Bozkurt, J Dong, Q Gao, V Tarokh, M Pajic
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