Hao-Lun Hsu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Derived Predicates

Reinforcement Learning

Subthalamic Nucleus

Top Venues

Publications

Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment. CoRR (2024)
Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
ϵ-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment. ICCPS (2024)
Hao-Lun Hsu, Miroslav Pajic
Robust exploration with adversary via Langevin Monte Carlo. L4DC (2024)
Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning. CoRR (2024)
Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. AAAI (2024)
Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic
REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances. ICRA (2024)
Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
Robust Reinforcement Learning through Efficient Adversarial Herding. CoRR (2023)
Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. CoRR (2023)
Parisa Sarikhani, Hao-Lun Hsu, Babak Mahmoudi
Automated Tuning of Closed-loop Neuromodulation Control Systems using Bayesian Optimization. EMBC (2022)
Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. ICRA (2022)
Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. CoRR (2021)