Hao-Lun Hsu

According to our database, Hao-Lun Hsu authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning.

Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust exploration with adversary via Langevin Monte Carlo.

Hao-Lun Hsu, Miroslav Pajic

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Steering Decision Transformers via Temporal Difference Learning.

Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ϵ-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment.

Hao-Lun Hsu, Qitong Gao, Miroslav Pajic

Proceedings of the 15th ACM/IEEE International Conference on Cyber-Physical Systems, 2024

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

Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs.

Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust Reinforcement Learning through Efficient Adversarial Herding.

Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic

CoRR, 2023

2022

Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning.

Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Automated Tuning of Closed-loop Neuromodulation Control Systems using Bayesian Optimization.

Parisa Sarikhani, Hao-Lun Hsu, Babak Mahmoudi

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022