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Hongyao Tang

12 papers at tracked venues · 11 at CORE A* · active 2024–2025

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Venues

NeurIPS ×6ICML ×4AAAI ×1AAMAS ×1

Frequent coauthors

Jianye Hao
×7
Pengyi Li
×6
Yan Zheng
×5
Yifu Yuan
×2
Zibin Dong
×2
Zhentao Tang
×2
Jinbin Qiao
×2
Glen Berseth
×2
Shixiong Kai
×1
Ruizhe Zhong
×1
Mingxuan Yuan
×1
Junchi Yan
×1

Papers

  1. COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
    NeurIPS 2025 ·
    Pengyi Li
    , Hongyao Tang,
    Yifu Yuan
    ,
    Jianye Hao
    ,
    Zibin Dong
    ,
    Yan Zheng
  2. CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
    NeurIPS 2025 ·
    Pengyi Li
    ,
    Shixiong Kai
    ,
    Jianye Hao
    ,
    Ruizhe Zhong
    , Hongyao Tang,
    Zhentao Tang
    ,
    Mingxuan Yuan
    ,
    Junchi Yan
  3. Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer
    AAMAS 2025 ·
    Yaodong Yang
    ,
    Guangyong Chen
    , Hongyao Tang,
    Furui Liu
    ,
    Danruo Deng
    ,
    Pheng-Ann Heng
  4. FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
    NeurIPS 2025 ·
    Da Wang
    ,
    Yi Ma
    ,
    Ting Guo
    , Hongyao Tang,
    Wei Wei
    ,
    Jiye Liang
  5. LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
    NeurIPS 2025 ·
    Pengyi Li
    , Hongyao Tang,
    Jinbin Qiao
    ,
    Yan Zheng
    ,
    Jianye Hao
  6. Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
    ICML 2025 · Hongyao Tang,
    Johan S. Obando-Ceron
    ,
    Pablo Samuel Castro
    ,
    Aaron C. Courville
    ,
    Glen Berseth
  7. R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
    ICML 2025 ·
    Pengyi Li
    ,
    Jianye Hao
    , Hongyao Tang,
    Yifu Yuan
    ,
    Jinbin Qiao
    ,
    Zibin Dong
    ,
    Yan Zheng
  8. Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning
    AAAI 2024 ·
    Xi Zeng
    ,
    Xiaotian Hao
    , Hongyao Tang,
    Zhentao Tang
    ,
    Shaoqing Jiao
    ,
    Dazhi Lu
    ,
    Jiajie Peng
  9. EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
    ICML 2024 ·
    Pengyi Li
    ,
    Yan Zheng
    , Hongyao Tang,
    Xian Fu
    ,
    Jianye Hao
  10. Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
    NeurIPS 2024 · Hongyao Tang,
    Glen Berseth
  11. The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
    NeurIPS 2024 · Hongyao Tang,
    Min Zhang
    ,
    Chen Chen
    ,
    Jianye Hao
  12. Value-Evolutionary-Based Reinforcement Learning
    ICML 2024 ·
    Pengyi Li
    ,
    Jianye Hao
    , Hongyao Tang,
    Yan Zheng
    ,
    Fazl Barez