Yali Du

Venues

Frequent coauthors

Papers

1. Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
   AAAI 2026 ·

   Hongye Cao

   DBLP profile ↗ORCID search ↗
2. Entropy-Aware Reshaping of Reinforcement Signals for Multi-Answer Reasoning
   ACL 2026 ·

   Zhi Li

   DBLP profile ↗ORCID search ↗
3. Safe Multi-agent Reinforcement Learning with Natural Language Constraints
   AAAI 2026 ·

   Ziyan Wang

   DBLP profile ↗ORCID search ↗
4. ATLAS: Agent Tuning via Learning Critical Steps
   ACL 2025 ·

   Zhixun Chen

   DBLP profile ↗ORCID search ↗
5. Abstract Counterfactuals for Language Model Agents
   NeurIPS 2025 ·

   Edoardo Pona

   DBLP profile ↗ORCID search ↗
6. CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation
   EMNLP 2025 ·

   Zhenyi Shen

   DBLP profile ↗ORCID search ↗
7. Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
   NeurIPS 2025 ·

   Hao Liang

   DBLP profile ↗ORCID search ↗
8. Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
   AAMAS 2025 ·

   Lukas Schäfer

   DBLP profile ↗ORCID search ↗
9. Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
   NeurIPS 2025 ·

   Chandler Smith

   DBLP profile ↗ORCID search ↗
10. GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
    ICML 2025 ·

    Yue Wang

    DBLP profile ↗ORCID search ↗
11. Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models
    AAMAS 2025 ·

    Zhixun Chen

    DBLP profile ↗ORCID search ↗
12. Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games
    AAMAS 2025 ·

    Wannian Xia

    DBLP profile ↗ORCID search ↗
13. M³HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
    ICML 2025 ·

    Ziyan Wang

    DBLP profile ↗ORCID search ↗
14. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
    EMNLP 2025 ·

    Wei Liu

    DBLP profile ↗ORCID search ↗
15. On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
    ICLR 2025 ·

    Xu-Hui Liu

    DBLP profile ↗ORCID search ↗
16. Quantifying the Self-Interest Level of Markov Social Dilemmas
    IJCAI 2025 ·

    Richard Willis

    DBLP profile ↗ORCID search ↗
17. RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
    AAAI 2025 ·

    Fengshuo Bai

    DBLP profile ↗ORCID search ↗
18. Resolving Social Dilemmas with Minimal Reward Transfer - Extended Abstract
    AAMAS 2025 ·

    Richard Willis

    DBLP profile ↗ORCID search ↗
19. RuAG: Learned-rule-augmented Generation for Large Language Models
    ICLR 2025 ·

    Yudi Zhang

    DBLP profile ↗ORCID search ↗
20. Self-Verifying Reflection Helps Transformers with CoT Reasoning
    NeurIPS 2025 ·

    Zhongwei Yu

    DBLP profile ↗ORCID search ↗
21. Social World Model-Augmented Mechanism Design Policy Learning
    NeurIPS 2025 ·

    Xiaoyuan Zhang

    DBLP profile ↗ORCID search ↗
22. Spiral of Silence in Large Language Model Agents
    EMNLP 2025 ·

    Mingze Zhong

    DBLP profile ↗ORCID search ↗
23. VLP: Vision-Language Preference Learning for Embodied Manipulation
    EMNLP 2025 ·

    Runze Liu

    DBLP profile ↗ORCID search ↗
24. Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma
    AAMAS 2025 ·

    Richard Willis

    DBLP profile ↗ORCID search ↗
25. Aligning Individual and Collective Objectives in Multi-Agent Cooperation
    NeurIPS 2024 ·

    Yang Li

    DBLP profile ↗ORCID search ↗
26. Characterizing Physical Adversarial Attacks on Robot Motion Planners
    ICRA 2024 ·

    Wenxi Wu

    DBLP profile ↗ORCID search ↗
27. Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment
    IJCAI 2024 ·

    Jinyu Cai

    DBLP profile ↗ORCID search ↗
28. Explaining an Agent's Future Beliefs Through Temporally Decomposing Future Reward Estimators
    ECAI 2024 ·

    Mark Towers

    DBLP profile ↗ORCID search ↗
29. Human-Guided Moral Decision Making in Text-Based Games
    AAAI 2024 ·

    Zijing Shi

    DBLP profile ↗ORCID search ↗
30. Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
    NeurIPS 2024 ·

    Nam Phuong Tran

    DBLP profile ↗ORCID search ↗
31. Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
    NeurIPS 2024 ·

    Xuanfa Jin

    DBLP profile ↗ORCID search ↗
32. Off-Agent Trust Region Policy Optimization
    IJCAI 2024 ·

    Ruiqing Chen

    DBLP profile ↗ORCID search ↗
33. PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
    ICML 2024 ·

    Runze Liu

    DBLP profile ↗ORCID search ↗
34. Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
    NeurIPS 2024 ·

    Xiong-Hui Chen

    DBLP profile ↗ORCID search ↗
35. STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning
    AAAI 2024 ·

    Sirui Chen

    DBLP profile ↗ORCID search ↗
36. Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models
    AAMAS 2024 ·

    Xingzhou Lou

    DBLP profile ↗ORCID search ↗
37. Self-Guiding Exploration for Combinatorial Problems
    NeurIPS 2024 ·

    Zangir Iklassov

    DBLP profile ↗ORCID search ↗
38. TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
    AAAI 2024 ·

    Xingzhou Lou

    DBLP profile ↗ORCID search ↗
39. The Selfishness Level of Social Dilemmas
    AAMAS 2024 ·

    Stefan Roesch

    DBLP profile ↗ORCID search ↗