Yali Du

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026 ATLAS: Agent Tuning via Learning Critical Steps ACL 2025 CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation EMNLP 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality ICML 2025 NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning EMNLP 2025 On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models ICLR 2025 Quantifying the Self-Interest Level of Markov Social Dilemmas IJCAI 2025 RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors AAAI 2025 RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025 Spiral of Silence in Large Language Model Agents EMNLP 2025 VLP: Vision-Language Preference Learning for Embodied Manipulation EMNLP 2025 Aligning Individual and Collective Objectives in Multi-Agent Cooperation NeurIPS 2024 Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment IJCAI 2024 Human-Guided Moral Decision Making in Text-Based Games AAAI 2024 Learning the Expected Core of Strictly Convex Stochastic Cooperative Games NeurIPS 2024 Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NeurIPS 2024 Off-Agent Trust Region Policy Optimization IJCAI 2024 PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation ICML 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NeurIPS 2024 Self-Guiding Exploration for Combinatorial Problems NeurIPS 2024 STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024 TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination NeurIPS 2023 Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization IJCAI 2023 ChessGPT: Bridging Policy Learning and Language Modeling NeurIPS 2023 Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions AAAI 2023 Cooperative Open-ended Learning Framework for Zero-Shot Coordination ICML 2023 Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NeurIPS 2023 Invariant Learning via Probability of Sufficient and Necessary Causes NeurIPS 2023 Reduced Policy Optimization for Continuous Control with Hard Constraints NeurIPS 2023 Stay Moral and Explore: Learn to Behave Morally in Text-based Games ICLR 2023 Learning to Identify Top Elo Ratings: A Dueling Bandits Approach AAAI 2022 Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NeurIPS 2022 Perceiving the World: Question-guided Reinforcement Learning for Text-based Games ACL 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL ICLR 2022 Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion ICML 2021 Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021 Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games NeurIPS 2020 Curriculum-guided Hindsight Experience Replay NeurIPS 2019 Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI ICML 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NeurIPS 2019 Collaborative Rating Allocation IJCAI 2017 Privileged Matrix Factorization for Collaborative Filtering IJCAI 2017