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Zongzhang Zhang

Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China

27 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

AAAI ×9NeurIPS ×5ICLR ×4ICML ×3IJCAI ×3AAMAS ×2ACL ×1

Frequent coauthors

Tao Jiang
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Chenxiao Gao
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Shihan Dou
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Yi-Chen Li
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Chao Chen
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Chengxing Jia
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Rui Kong
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Pengfei Liu
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Lianghui Liu
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Aoran Wang
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Jiahui Wang
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Lei Song
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Papers

  1. Efficient Preference Alignment via Pareto Exploration (Student Abstract)
    AAAI 2026 ·
    Pengfei Liu
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  2. Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract)
    AAAI 2026 ·
    Lianghui Liu
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  3. Multi-agent In-context Coordination via Decentralized Memory Retrieval
    AAAI 2026 ·
    Tao Jiang
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  4. Reward Model Evaluation via Automatically-Ranked Policy Alignment
    AAAI 2026 ·
    Aoran Wang
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  5. Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
    ICML 2025 ·
    Chen-Xiao Gao
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  6. EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
    NeurIPS 2025 ·
    Shihan Dou
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  7. Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
    NeurIPS 2025 ·
    Jiahui Wang
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  8. Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
    ACL 2025 ·
    Shihan Dou
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  9. Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
    NeurIPS 2025 ·
    Yi-Chen Li
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  10. Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation
    ICLR 2025 ·
    Yi-Chen Li
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  11. Reinforced In-Context Black-Box Optimization
    IJCAI 2025 ·
    Lei Song
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  12. Reward Models in Deep Reinforcement Learning: A Survey
    IJCAI 2025 ·
    Rui Yu
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  13. ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
    AAAI 2024 ·
    Chenxiao Gao
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  14. Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
    ICLR 2024 ·
    Zican Hu
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  15. Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
    ICML 2024 ·
    Xinyu Zhang
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  16. Deep Anomaly Detection via Active Anomaly Search
    AAMAS 2024 ·
    Chao Chen
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  17. Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
    ICML 2024 ·
    Xiong-Hui Chen
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  18. Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
    AAMAS 2024 ·
    Chengxing Jia
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  19. Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization
    IJCAI 2024 ·
    Rui Kong
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  20. Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning
    AAAI 2024 ·
    Chao Chen
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  21. Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract)
    AAAI 2024 ·
    Rui Kong
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  22. Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
    AAAI 2024 ·
    Renzhe Zhou
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  23. Language Model Self-improvement by Reinforcement Learning Contemplation
    ICLR 2024 ·
    Jing-Cheng Pang
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  24. Multi-Agent Domain Calibration with a Handful of Offline Data
    NeurIPS 2024 ·
    Tao Jiang
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  25. Multi-Expert Distillation for Few-Shot Coordination (Student Abstract)
    AAAI 2024 ·
    Yujian Zhu
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  26. ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
    NeurIPS 2024 ·
    Jiafei Lyu
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  27. Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
    ICLR 2024 ·
    Chengxing Jia
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