PPaperPicks

Yang Yu

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

45 papers at tracked venues · 39 at CORE A* · active 2024–2026

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Venues

ICLR ×12ICML ×12NeurIPS ×8AAAI ×6AAMAS ×4ECML-PKDD ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Chengxing Jia
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Jing-Cheng Pang
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Fan-Ming Luo
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Ruifeng Chen
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Tao Jiang
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Ruiqi Xue
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Haoxin Lin
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Chenxiao Gao
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Zhilong Zhang
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Lihe Li
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Yi-Chen Li
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Xu-Hui Liu
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Papers

  1. Multi-agent In-context Coordination via Decentralized Memory Retrieval
    AAAI 2026 ·
    Tao Jiang
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  2. Reward Model Evaluation via Automatically-Ranked Policy Alignment
    AAAI 2026 ·
    Aoran Wang
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  3. Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
    NeurIPS 2025 ·
    Ruiqi Xue
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  4. Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
    ICLR 2025 ·
    Haoxin Lin
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  5. Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
    ICML 2025 ·
    Chen-Xiao Gao
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  6. Controlling Large Language Model with Latent Action
    ICML 2025 ·
    Chengxing Jia
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  7. Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
    ICLR 2025 ·
    Lei Yuan
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  8. Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
    NeurIPS 2025 ·
    Jiahui Wang
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  9. Improving Reward Model Generalization from Adversarial Process Enhanced Preferences
    ICML 2025 ·
    Zhilong Zhang
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  10. LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination
    ICML 2025 ·
    Lihe Li
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  11. Learning View-invariant World Models for Visual Robotic Manipulation
    ICLR 2025 ·
    Jing-Cheng Pang
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  12. Learning to Reuse Policies in State Evolvable Environments
    ICML 2025 ·
    Ziqian Zhang
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  13. Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function
    NeurIPS 2025 ·
    Yi-Chen Li
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  14. On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
    ICLR 2025 ·
    Xu-Hui Liu
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  15. Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation
    ICLR 2025 ·
    Yi-Chen Li
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  16. SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
    ICLR 2025 ·
    Hong Qian
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  17. Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning
    ICLR 2025 ·
    Tian-Shuo Liu
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  18. Uncertainty-Sensitive Privileged Learning
    NeurIPS 2025 ·
    Fan-Ming Luo
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  19. ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
    AAAI 2024 ·
    Chenxiao Gao
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  20. Beimingwu: A Learnware Dock System
    SIGKDD 2024 ·
    Zhi-Hao Tan
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  21. Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal
    IJCAI 2024 ·
    Lihe Li
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  22. Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation
    AAMAS 2024 ·
    Cong Guan
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  23. Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
    ICML 2024 ·
    Xinyu Zhang
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  24. Deep Anomaly Detection via Active Anomaly Search
    AAMAS 2024 ·
    Chao Chen
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  25. Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
    ICML 2024 ·
    Xiong-Hui Chen
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  26. Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
    AAMAS 2024 ·
    Chengxing Jia
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  27. Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator
    ECML-PKDD 2024 ·
    Ruiqi Xue
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  28. Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
    NeurIPS 2024 ·
    Fan-Ming Luo
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  29. Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
    ICML 2024 ·
    Xu-Hui Liu
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  30. Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
    AAAI 2024 ·
    Haoxin Lin
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  31. Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
    ICLR 2024 ·
    Zhilong Zhang
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  32. Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning
    AAAI 2024 ·
    Chao Chen
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  33. Foresight Distribution Adjustment for Off-policy Reinforcement Learning
    AAMAS 2024 ·
    Ruifeng Chen
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  34. Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
    AAAI 2024 ·
    Renzhe Zhou
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  35. KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
    NeurIPS 2024 ·
    Jing-Cheng Pang
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  36. Language Model Self-improvement by Reinforcement Learning Contemplation
    ICLR 2024 ·
    Jing-Cheng Pang
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  37. Limited Preference Aided Imitation Learning from Imperfect Demonstrations
    ICML 2024 ·
    Xingchen Cao
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  38. Multi-Agent Domain Calibration with a Handful of Offline Data
    NeurIPS 2024 ·
    Tao Jiang
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  39. Offline Transition Modeling via Contrastive Energy Learning
    ICML 2024 ·
    Ruifeng Chen
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  40. Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
    NeurIPS 2024 ·
    Xiong-Hui Chen
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  41. Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
    ICLR 2024 ·
    Chengxing Jia
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  42. Policy-conditioned Environment Models are More Generalizable
    ICML 2024 ·
    Ruifeng Chen
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  43. ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
    ICML 2024 ·
    Ziniu Li
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  44. Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
    ICLR 2024 ·
    Fan-Ming Luo
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  45. When is RL better than DPO in RLHF? A Representation and Optimization Perspective
    ICLR 2024 ·
    Ziniu Li
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