Hao-Lun Hsu

17 papers A* 4A 2C 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces.
CoRR
JiWoo Kim, Swarajh Mehta, Hao-Lun Hsu, Hyunwoo Ryu, Yudong Liu, Miroslav Pajic
2025 — conf
Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation.
L4DC
Hao-Lun Hsu, Miroslav Pajic
2025 A conf
Variational Adversarial Training Towards Policies with Improved Robustness.
AISTATS
Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2024 A* conf
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs.
AAAI
Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
2024 A* conf
REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances.
ICRA
Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic
2024 A* conf
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning.
NeurIPS
Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu
2024 J jnl
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning.
CoRR
Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu
2024 — conf
Robust exploration with adversary via Langevin Monte Carlo.
L4DC
Hao-Lun Hsu, Miroslav Pajic
2024 A conf
Steering Decision Transformers via Temporal Difference Learning.
IROS
Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2024 C conf
StressFADS: Learning Latent Autonomic Factors of Stress in the Context of Trauma Recall and Neuromodulation.
BSN
Asim Hossain Gazi, Michael Chan, Hao-Lun Hsu, J. Douglas Bremner, Christopher J. Rozell, Omer T. Inan
2024 J jnl
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment.
CoRR
Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
2024 — conf
ϵ-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment.
ICCPS
Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
2023 J jnl
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs.
CoRR
Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
2023 J jnl
Robust Reinforcement Learning through Efficient Adversarial Herding.
CoRR
Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
2022 — conf
Automated Tuning of Closed-loop Neuromodulation Control Systems using Bayesian Optimization.
EMBC
Parisa Sarikhani, Hao-Lun Hsu, Babak Mahmoudi
2022 A* conf
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning.
ICRA
Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha
2021 J jnl
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning.
CoRR
Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha