Hsu, Hao-Lun

5 publications

L4DC 2025 Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation Hao-Lun Hsu, Miroslav Pajic

AISTATS 2025 Variational Adversarial Training Towards Policies with Improved Robustness Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic

AAAI 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu

NeurIPS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu

L4DC 2024 Robust Exploration with Adversary via Langevin Monte Carlo Hao-Lun Hsu, Miroslav Pajic