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Hao-Lun Hsu

5 papers at tracked venues · 2 at CORE A* · active 2024–2025

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Venues

AAAI ×1AISTATS ×1ICRA ×1IROS ×1NeurIPS ×1

Frequent coauthors

Miroslav Pajic
×4
Juncheng Dong
×3
Vahid Tarokh
×3
Qitong Gao
×2
Pan Xu
×2
Tianyuan Jin
×1
William Chang
×1
Haocheng Meng
×1
Shaocheng Luo
×1
Weixin Wang
×1
Alper Kamil Bozkurt
×1

Papers

  1. Variational Adversarial Training Towards Policies with Improved Robustness
    AISTATS 2025 ·
    Juncheng Dong
    , Hao-Lun Hsu,
    Qitong Gao
    ,
    Vahid Tarokh
    ,
    Miroslav Pajic
  2. Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
    AAAI 2024 ·
    Tianyuan Jin
    , Hao-Lun Hsu,
    William Chang
    ,
    Pan Xu
  3. REFORMA: Robust REinFORceMent Learning via Adaptive Adversary for Drones Flying under Disturbances
    ICRA 2024 · Hao-Lun Hsu,
    Haocheng Meng
    ,
    Shaocheng Luo
    ,
    Juncheng Dong
    ,
    Vahid Tarokh
    ,
    Miroslav Pajic
  4. Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
    NeurIPS 2024 · Hao-Lun Hsu,
    Weixin Wang
    ,
    Miroslav Pajic
    ,
    Pan Xu
  5. Steering Decision Transformers via Temporal Difference Learning
    IROS 2024 · Hao-Lun Hsu,
    Alper Kamil Bozkurt
    ,
    Juncheng Dong
    ,
    Qitong Gao
    ,
    Vahid Tarokh
    ,
    Miroslav Pajic