Privileged Matrix Factorization for Collaborative Filtering. - Yali Du 001; Chang Xu 002; Dacheng Tao (IJCAI, 2017)

Collaborative Rating Allocation. - Yali Du 001; Chang Xu 002; Dacheng Tao (IJCAI, 2017)

Towards Query Efficient Black-box Attacks: An Input-free Perspective. - Yali Du 001; Meng Fang; Jinfeng Yi; Jun Cheng 002; Dacheng Tao (AISec@CCS, 2018)

Matrix Factorization for Collaborative Budget Allocation. - Yali Du 001; Chang Xu 002; Dacheng Tao (IEEE Trans Autom. Sci. Eng., 2018)

Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI. - Lei Han 001; Peng Sun 011; Yali Du 001; Jiechao Xiong; Qing Wang; Xinghai Sun; Han Liu 001; Tong Zhang 001 (ICML, 2019)

Exploring Content-based Video Relevance for Video Click-Through Rate Prediction. - Xun Wang 007; Yali Du 001; Leimin Zhang; Xirong Li 001; Miao Zhang; Jianfeng Dong (ACM Multimedia, 2019)

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. - Yali Du 001; Lei Han 001; Meng Fang; Ji Liu 002; Tianhong Dai; Dacheng Tao (NeurIPS, 2019)

Curriculum-guided Hindsight Experience Replay. - Meng Fang; Tianyi Zhou 001; Yali Du 001; Lei Han 001; Zhengyou Zhang (NeurIPS, 2019)

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. - Yali Du 001; Meng Fang; Jinfeng Yi; Chang Xu 002; Jun Cheng 002; Dacheng Tao (IEEE Trans. Multim., 2019)

Design and evaluation of factorization-based algorithms for user preference analysis - Yali Du 001 (2019)

Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control. - Yifan Zhao; Gangyan Xu; Yali Du 001; Meng Fang (CASE, 2020)

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Joey Tianyi Zhou; Chengqi Zhang (NeurIPS, 2020)

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. - Yali Du 001; Bo Liu 039; Vincent Moens; Ziqi Liu; Zhicheng Ren; Jun Wang 012; Xu Chen 017; Haifeng Zhang 002 (AAMAS, 2021)

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. - Liheng Chen; Hongyi Guo; Yali Du 001; Fei Fang 001; Haifeng Zhang 002; Weinan Zhang 001; Yong Yu 001 (DAI, 2021)

Generalization in Text-based Games via Hierarchical Reinforcement Learning. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Chengqi Zhang (EMNLP (Findings), 2021)

Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. - Yali Du 001; Xue Yan; Xu Chen 017; Jun Wang 012; Haifeng Zhang 002 (ICML, 2021)

Learning in Nonzero-Sum Stochastic Games with Potentials. - David Henry Mguni; Yutong Wu 005; Yali Du 001; Yaodong Yang 001; Ziyi Wang 004; Minne Li; Ying Wen 001; Joel Jennings; Jun Wang 012 (ICML, 2021)

Ordering-Based Causal Discovery with Reinforcement Learning. - Xiaoqiang Wang 003; Yali Du 001; Shengyu Zhu 001; Liangjun Ke; Zhitang Chen; Jianye Hao; Jun Wang 012 (IJCAI, 2021)

Reinforcement Recommendation with User Multi-aspect Preference. - Xu Chen 017; Yali Du 001; Long Xia; Jun Wang 012 (WWW, 2021)

Learning to Shape Rewards using a Game of Switching Controls. - David Mguni; Jianhong Wang; Taher Jafferjee; Nicolas Perez Nieves; Wenbin Song; Yaodong Yang 001; Feifei Tong; Hui Chen; Jiangcheng Zhu; Yali Du 001; Jun Wang 012 (CoRR, 2021)

MHER: Model-based Hindsight Experience Replay. - Rui Yang 010; Meng Fang; Lei Han 001; Yali Du 001; Feng Luo; Xiu Li 001 (CoRR, 2021)

Learning to Compute Approximate Nash Equilibrium for Normal-form Games. - Zhijian Duan 001; Yali Du 001; Jun Wang 012; Xiaotie Deng (CoRR, 2021)

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. - Xue Yan; Yali Du 001; Binxin Ru; Jun Wang 012; Haifeng Zhang 002; Xu Chen 017 (AAAI, 2022)

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Joey Tianyi Zhou; Chengqi Zhang (ACL (1), 2022)

How to Train Your Agent: Active Learning from Human Preferences and Justifications in Safety-critical Environments. - Ilias Kazantzidis; Timothy J. Norman; Yali Du 001; Christopher T. Freeman (AAMAS, 2022)

GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. - Jingqing Ruan; Yali Du 001; Xuantang Xiong; Dengpeng Xing; Xiyun Li; Linghui Meng 001; Haifeng Zhang 002; Jun Wang 012; Bo Xu 002 (AAMAS, 2022)

Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. - Rui Yang 010; Yiming Lu; Wenzhe Li; Hao Sun; Meng Fang; Yali Du 001; Xiu Li 001; Lei Han 001; Chongjie Zhang (ICLR, 2022)

Scalable Model-based Policy Optimization for Decentralized Networked Systems. - Yali Du 001; Chengdong Ma; Yuchen Liu; Runji Lin; Hao Dong 003; Jun Wang 012; Yaodong Yang 001 (IROS, 2022)

Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. - Runze Liu 002; Fengshuo Bai; Yali Du 001; Yaodong Yang 001 (NeurIPS, 2022)

Reasoning and interaction for social artificial intelligence. - Elizabeth Black; Martim Brandão; Oana Cocarascu; Bart de Keijzer; Yali Du 001; Derek Long; Michael Luck; Peter McBurney; Albert Meroño-Peñuela; Simon Miles; Sanjay Modgil; Luc Moreau 001; et al. (AI Commun., 2022)

A Review of Safe Reinforcement Learning: Methods, Theory and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Yaodong Yang 001; Alois C. Knoll (CoRR, 2022)

Fully Decentralized Model-based Policy Optimization for Networked Systems. - Yali Du 001; Chengdong Ma; Yuchen Liu; Runji Lin; Hao Dong 003; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Contextual Transformer for Offline Meta Reinforcement Learning. - Runji Lin; Ye Li 016; Xidong Feng; Zhaowei Zhang; Xian Hong Wu Fung; Haifeng Zhang 002; Jun Wang 012; Yali Du 001; Yaodong Yang 001 (CoRR, 2022)

Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection. - Yang Yang; Hongjian Sun; Jialei Gong; Yali Du 001; Di Yu (CoRR, 2022)

Diversity-augmented intrinsic motivation for deep reinforcement learning. - Tianhong Dai; Yali Du 001; Meng Fang; Anil Anthony Bharath (Neurocomputing, 2022)

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. - Yunqiu Xu; Meng Fang; Ling Chen 006; Gangyan Xu; Yali Du 001; Chengqi Zhang (IEEE Trans. Cybern., 2022)

Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions. - Yali Du 001 (AAAI, 2023)

Is Nash Equilibrium Approximator Learnable? - Zhijian Duan 001; Wenhan Huang; Dinghuai Zhang; Yali Du 001; Jun Wang 012; Yaodong Yang 001; Xiaotie Deng (AAMAS, 2023)

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. - Xingzhou Lou; Jiaxian Guo; Junge Zhang; Jun Wang 012; Kaiqi Huang; Yali Du 001 (AAMAS, 2023)

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Mengyue Yang; Yang Wang 019; Yali Du 001; Yong Yu 001; Jun Wang 012 (CIKM, 2023)

TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory. - Ming Yang; Renzhi Dong; Yiming Wang; Furui Liu; Yali Du 001; Mingliang Zhou 001; Leong Hou U (DASFAA (1), 2023)

Stay Moral and Explore: Learn to Behave Morally in Text-based Games. - Zijing Shi; Meng Fang; Yunqiu Xu; Ling Chen 006; Yali Du 001 (ICLR, 2023)

Cooperative Open-ended Learning Framework for Zero-Shot Coordination. - Yang Li 116; Shao Zhang; Jichen Sun; Yali Du 001; Ying Wen 001; Xinbing Wang; Wei Pan 004 (ICML, 2023)

A Multi-Agent Framework for Recommendation with Heterogeneous Sources. - Yabin Zhang 005; Weiqi Shao; Xu Chen 017; Yali Du 001; Xiaoxiao Xu; Dong Zheng; Changhua Pei; Shuai Zhang; Peng Jiang 002; Kun Gai (IJCNN, 2023)

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. - Yudi Zhang 007; Yali Du 001; Biwei Huang; Ziyan Wang; Jun Wang 012; Meng Fang; Mykola Pechenizkiy (NeurIPS, 2023)

Reduced Policy Optimization for Continuous Control with Hard Constraints. - Shutong Ding; Jingya Wang; Yali Du 001; Ye Shi 001 (NeurIPS, 2023)

ChessGPT: Bridging Policy Learning and Language Modeling. - Xidong Feng; Yicheng Luo; Ziyan Wang; Hongrui Tang; Mengyue Yang; Kun Shao; David Mguni; Yali Du 001; Jun Wang 012 (NeurIPS, 2023)

An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. - Xue Yan; Jiaxian Guo; Xingzhou Lou; Jun Wang 012; Haifeng Zhang 002; Yali Du 001 (NeurIPS, 2023)

Invariant Learning via Probability of Sufficient and Necessary Causes. - Mengyue Yang; Yonggang Zhang 003; Zhen Fang 001; Yali Du 001; Furui Liu; Jean-Francois Ton; Jianhong Wang; Jun Wang 012 (NeurIPS, 2023)

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. - Shangding Gu; Alap Kshirsagar; Yali Du 001; Guang Chen 001; Yaodong Yang 001; Jan Peters 001; Alois C. Knoll (CoRR, 2023)

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning. - Sirui Chen; Zhaowei Zhang; Yali Du 001; Yaodong Yang 001 (CoRR, 2023)

Introspective Tips: Large Language Model for In-Context Decision Making. - Liting Chen; Lu Wang 029; Hang Dong 004; Yali Du 001; Jie Yan; Fangkai Yang; Shuang Li 002; Pu Zhao 004; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2023)

GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. - Yudi Zhang 007; Yali Du 001; Biwei Huang; Ziyan Wang; Jun Wang 012; Meng Fang; Mykola Pechenizkiy (CoRR, 2023)

Zero-shot Preference Learning for Offline RL via Optimal Transport. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (CoRR, 2023)

Invariant Learning via Probability of Sufficient and Necessary Causes. - Mengyue Yang; Zhen Fang 001; Yonggang Zhang 003; Yali Du 001; Furui Liu; Jean-Francois Ton; Jun Wang 012 (CoRR, 2023)

A Review of Cooperation in Multi-agent Learning. - Yali Du 001; Joel Z. Leibo; Usman Islam; Richard Willis; Peter Sunehag (CoRR, 2023)

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. - Zijing Shi; Meng Fang; Shunfeng Zheng; Shilong Deng; Ling Chen 006; Yali Du 001 (CoRR, 2023)

Shared dynamics learning for large-scale traveling salesman problem. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Gangyan Xu; Chengqi Zhang (Adv. Eng. Informatics, 2023)

Safe multi-agent reinforcement learning for multi-robot control. - Shangding Gu; Jakub Grudzien Kuba; Yuanpei Chen; Yali Du 001; Long Yang 004; Alois C. Knoll; Yaodong Yang 001 (Artif. Intell., 2023)

A human-centered safe robot reinforcement learning framework with interactive behaviors. - Shangding Gu; Alap Kshirsagar; Yali Du 001; Guang Chen 001; Jan Peters 001; Alois Knoll (Frontiers Neurorobotics, 2023)

STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. - Sirui Chen; Zhaowei Zhang; Yaodong Yang 001; Yali Du 001 (AAAI, 2024)

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. - Xingzhou Lou; Junge Zhang; Timothy J. Norman; Kaiqi Huang; Yali Du 001 (AAAI, 2024)

Human-Guided Moral Decision Making in Text-Based Games. - Zijing Shi; Meng Fang; Ling Chen 006; Yali Du 001; Jun Wang 012 (AAAI, 2024)

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. - Xingzhou Lou; Junge Zhang; Ziyan Wang; Kaiqi Huang; Yali Du 001 (AAMAS, 2024)

The Selfishness Level of Social Dilemmas. - Stefan Roesch; Stefanos Leonardos; Yali Du 001 (AAMAS, 2024)

Explaining an Agent's Future Beliefs Through Temporally Decomposing Future Reward Estimators. - Mark Towers; Yali Du 001; Christopher T. Freeman; Timothy J. Norman (ECAI, 2024)

Temporal Explanations of Deep Reinforcement Learning Agents. - Mark Towers; Yali Du 001; Christopher T. Freeman; Timothy J. Norman (EXTRAAMAS, 2024)

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (ICML, 2024)

Characterizing Physical Adversarial Attacks on Robot Motion Planners. - Wenxi Wu; Fabio Pierazzi; Yali Du 001; Martim Brandão (ICRA, 2024)

Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. - Jinyu Cai; Yunhe Zhang 001; Jicong Fan 001; Yali Du 001; Wenzhong Guo (IJCAI, 2024)

Off-Agent Trust Region Policy Optimization. - Ruiqing Chen; Xiaoyuan Zhang; Yali Du 001; Yifan Zhong; Zheng Tian 002; Fanglei Sun; Yaodong Yang 001 (IJCAI, 2024)

Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting. - Xiong-Hui Chen; Ziyan Wang; Yali Du 001; Shengyi Jiang; Meng Fang; Yang Yu 001; Jun Wang 012 (NeurIPS, 2024)

Self-Guiding Exploration for Combinatorial Problems. - Zangir Iklassov; Yali Du 001; Farkhad Akimov; Martin Takác 001 (NeurIPS, 2024)

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. - Xuanfa Jin; Ziyan Wang; Yali Du 001; Meng Fang; Haifeng Zhang; Jun Wang (NeurIPS, 2024)

Aligning Individual and Collective Objectives in Multi-Agent Cooperation. - Yang Li 116; Wenhao Zhang; Jianhong Wang; Shao Zhang; Yali Du 001; Ying Wen 001; Wei Pan 004 (NeurIPS, 2024)

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. - Nam Phuong Tran; The-Anh Ta; Shuqing Shi; Debmalya Mandal; Yali Du 001; Long Tran-Thanh (NeurIPS, 2024)

Natural Language Reinforcement Learning. - Xidong Feng; Ziyu Wan; Mengyue Yang; Ziyan Wang; Girish A. Koushik; Yali Du 001; Ying Wen 001; Jun Wang 012 (CoRR, 2024)

All Language Models Large and Small. - Zhixun Chen; Yali Du 001; David Mguni (CoRR, 2024)

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. - Xuanfa Jin; Ziyan Wang; Yali Du 001; Meng Fang; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2024)

Safe Multi-agent Reinforcement Learning with Natural Language Constraints. - Ziyan Wang; Meng Fang; Tristan Tomilin; Fei Fang 001; Yali Du 001 (CoRR, 2024)

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey. - Ruiqi Zhang; Jing Hou; Florian Walter; Shangding Gu; Jiayi Guan; Florian Röhrbein; Yali Du 001; Panpan Cai; Guang Chen 001; Alois Knoll (CoRR, 2024)

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. - Yang Li 116; Shao Zhang; Jichen Sun; Wenhao Zhang; Yali Du 001; Ying Wen 001; Xinbing Wang; Wei Pan 004 (J. Artif. Intell. Res., 2024)

Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. - Xingzhou Lou; Junge Zhang; Yali Du 001; Chao Yu 004; Zhaofeng He; Kaiqi Huang (IEEE Trans. Games, 2024)

Resolving social dilemmas with minimal reward transfer. - Richard Willis; Yali Du 001; Joel Z. Leibo; Michael Luck (Auton. Agents Multi Agent Syst., 2024)

Team-wise effective communication in multi-agent reinforcement learning. - Ming Yang; Kaiyan Zhao; Yiming Wang; Renzhi Dong; Yali Du 001; Furui Liu; Mingliang Zhou 001; Leong Hou U (Auton. Agents Multi Agent Syst., 2024)

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Alois Knoll (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. - Fengshuo Bai; Runze Liu 002; Yali Du 001; Ying Wen 001; Yaodong Yang 001 (AAAI, 2025)

ATLAS: Agent Tuning via Learning Critical Steps. - Zhixun Chen; Ming Li; Yuxuan Huang; Yali Du 001; Meng Fang; Tianyi Zhou 001 (ACL (Findings), 2025)

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments. - Olivier Schipper; Yudi Zhang 007; Yali Du 001; Mykola Pechenizkiy; Meng Fang (CoG, 2025)

PIE: Permutation-Invariant Multi-Entity Evaluation. - Xue Yan; Haifeng Zhang; Yali Du 001; Jun Wang 012 (CoG, 2025)

RuAG: Learned-rule-augmented Generation for Large Language Models. - Yudi Zhang 007; Pei Xiao 007; Lu Wang 029; Chaoyun Zhang; Meng Fang; Yali Du 001; Yevgeniy Puzyrev; Randolph Yao; Si Qin; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; et al. (ICLR, 2025)

On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models. - Xu-Hui Liu; Yali Du 001; Jun Wang 012; Yang Yu 001 (ICLR, 2025)

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. - Lukas Schäfer 001; Oliver Slumbers; Stephen McAleer; Yali Du 001; Stefano V. Albrecht; David Mguni (AAMAS, 2025)

Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models. - Zhixun Chen; Zijing Shi; Yaodong Yang 001; Meng Fang; Yali Du 001 (AAMAS, 2025)

Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma. - Richard Willis; Yali Du 001; Joel Z. Leibo (AAMAS, 2025)

Resolving Social Dilemmas with Minimal Reward Transfer - Extended Abstract. - Richard Willis; Yali Du 001; Joel Z. Leibo; Michael Luck (AAMAS, 2025)

Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games. - Wannian Xia; Meng Fang; Zihao Guo; Yali Du 001; Bo Xu 002 (AAMAS, 2025)

An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems. - Song Ma; Jingqing Ruan; Yali Du 001; Richard Bucknall; Yuanchang Liu (IEEE Trans Autom. Sci. Eng., 2025)

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment. - Ziyan Wang; Yali Du 001; Yudi Zhang 007; Meng Fang; Biwei Huang (Trans. Mach. Learn. Res., 2025)

Quantifying the Self-Interest Level of Markov Social Dilemmas. - Richard Willis; Yali Du 001; Joel Z. Leibo; Michael Luck (CoRR, 2025)

Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma. - Richard Willis; Yali Du 001; Joel Z. Leibo; Michael Luck (CoRR, 2025)

VLP: Vision-Language Preference Learning for Embodied Manipulation. - Runze Liu 002; Chenjia Bai; Jiafei Lyu; Shengjie Sun; Yali Du 001; Xiu Li 001 (CoRR, 2025)

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones? - Yudi Zhang 007; Lu Wang 029; Meng Fang; Yali Du 001; Chenghua Huang; Jun Wang; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. - Zhenyi Shen; Hanqi Yan; Linhai Zhang; Zhanghao Hu; Yali Du 001; Yulan He 001 (CoRR, 2025)

M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality. - Ziyan Wang; Zhicheng Zhang; Fei Fang 001; Yali Du 001 (CoRR, 2025)

GRU: Mitigating the Trade-off between Unlearning and Retention for Large Language Models. - Yue Wang; Qizhou Wang; Feng Liu 003; Wei Huang; Yali Du 001; Xiaojiang Du; Bo Han 003 (CoRR, 2025)

SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas. - Zihao Guo; Richard Willis; Shuqing Shi; Tristan Tomilin; Joel Z. Leibo; Yali Du 001 (CoRR, 2025)

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks. - Sizhe Yuen; Ting Su; Ziyang Wang; Yali Du 001; Adam J. Sobey (CoRR, 2025)

NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning. - Wei Liu 161; Siya Qi; Xinyu Wang; Chen Qian; Yali Du 001; Yulan He 001 (CoRR, 2025)

Abstract Counterfactuals for Language Model Agents. - Edoardo Pona; Milad Kazemi; Yali Du 001; David Watson; Nicola Paoletti (CoRR, 2025)

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models. - Zhicheng Zhang; Ziyan Wang; Yali Du 001; Fei Fang 001 (CoRR, 2025)

Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory. - Sizhe Yuen; Francisco Gomez Medina; Ting Su; Yali Du 001; Adam J. Sobey (CoRR, 2025)