Yali Du - RankMe

163 papers A* 45A 15B 1C 2Journal 87Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning. AAAI Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao
2026	J	`jnl`	Computational hermeneutics: evaluating generative AI as a cultural technology. Frontiers Artif. Intell. Cody Kommers, Ruth Ahnert, Maria Antoniak, Emmanouil Benetos, Steve Benford, Mercedes Bunz, Baptiste Caramiaux, Shauna Concannon, Martin Disley, James Dobson, Yali Du, Edgar Duéñez-Guzmán, Kerry Francksen, Evelyn Gius, Jonathan W. Y. Gray, Ryan Heuser, Sarah Immel, Richard Jean So, Sang Leigh, Dalaki Livingston, Hoyt Long, Meredith Martin, Georgia Meyer, Daniela Mihai, Ashley Noel-Hirst, Kirsten Ostherr, Deven Parker, Yipeng Qin, Jessica Ratcliff, Emily Robinson, Karina Rodriguez, Adam Sobey, Ted Underwood, Aditya Vashistha, Matthew Wilkens, Youyou Wu, Yuan Zheng, Drew Hemment
2026	J	`jnl`	Evaluating Collective Behaviour of Hundreds of LLM Agents. CoRR Richard Willis, Jianing Zhao, Yali Du, Joel Z. Leibo
2026	J	`jnl`	Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models. CoRR Wei Liu, Peijie Yu, Michele Orini, Yali Du, Yulan He
2026	J	`jnl`	Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation? CoRR Hao Liang, Jiayu Cheng, Sean R. Sinclair, Yali Du
2026	A*	`conf`	Safe Multi-agent Reinforcement Learning with Natural Language Constraints. AAAI Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
2026	—	`conf`	Safe Reward Learning from Human Preferences and Justifications. ICAART (1) Ilias Kazantzidis, Timothy J. Norman, Yali Du, Christopher T. Freeman
2026	J	`jnl`	Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain. CoRR Wei Liu, Siya Qi, Yali Du, Yulan He
2026	J	`jnl`	VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training - A Chess Case Study. CoRR Zhicheng Zhang, Ziyan Wang, Yali Du, Fei Fang
2025	J	`jnl`	A Comparative User Evaluation of XRL Explanations using Goal Identification. CoRR Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2025	—	`conf`	ATLAS: Agent Tuning via Learning Critical Steps. ACL (Findings) Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou
2025	J	`jnl`	ATLaS: Agent Tuning via Learning Critical Steps. CoRR Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou
2025	J	`jnl`	Abstract Counterfactuals for Language Model Agents. CoRR Edoardo Pona, Milad Kazemi, Yali Du, David Watson, Nicola Paoletti
2025	J	`jnl`	An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems. IEEE Trans Autom. Sci. Eng. Song Ma, Jingqing Ruan, Yali Du, Richard Bucknall, Yuanchang Liu
2025	J	`jnl`	Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks. CoRR Sizhe Yuen, Ting Su, Ziyang Wang, Yali Du, Adam J. Sobey
2025	A*	`conf`	CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. EMNLP Zhenyi Shen, Hanqi Yan, Linhai Zhang, Zhanghao Hu, Yali Du, Yulan He
2025	J	`jnl`	CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. CoRR Zhenyi Shen, Hanqi Yan, Linhai Zhang, Zhanghao Hu, Yali Du, Yulan He
2025	J	`jnl`	Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems. CoRR Hao Liang, Shuqing Shi, Yudi Zhang, Biwei Huang, Yali Du
2025	J	`jnl`	Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones? CoRR Yudi Zhang, Lu Wang, Meng Fang, Yali Du, Chenghua Huang, Jun Wang, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
2025	A	`conf`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. AAMAS Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2025	A*	`conf`	GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs. ICML Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han
2025	J	`jnl`	GRU: Mitigating the Trade-off between Unlearning and Retention for Large Language Models. CoRR Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han
2025	—	`conf`	Goal-oriented Semantic Communication in Bandwidth-constrained MARL. ICC Workshops Yang Su, Yali Du, Yansha Deng
2025	A	`conf`	Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models. AAMAS Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du
2025	A	`conf`	Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games. AAMAS Wannian Xia, Meng Fang, Zihao Guo, Yali Du, Bo Xu
2025	J	`jnl`	Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory. CoRR Sizhe Yuen, Francisco Gomez Medina, Ting Su, Yali Du, Adam J. Sobey
2025	J	`jnl`	Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models. CoRR Zhicheng Zhang, Ziyan Wang, Yali Du, Fei Fang
2025	J	`jnl`	M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality. CoRR Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du
2025	J	`jnl`	MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment. Trans. Mach. Learn. Res. Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang
2025	—	`conf`	Multi-Stage Multi-Agent Reinforcement Learning for on-Demand Food-Delivery Services with a Mixed Fleet of Human Couriers and Drones. ITSC Yulong Hu, Yali Du, Sen Li
2025	A*	`conf`	M³HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality. ICML Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du
2025	A*	`conf`	NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning. EMNLP Wei Liu, Siya Qi, Xinyu Wang, Chen Qian, Yali Du, Yulan He
2025	J	`jnl`	NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning. CoRR Wei Liu, Siya Qi, Xinyu Wang, Chen Qian, Yali Du, Yulan He
2025	A*	`conf`	On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models. ICLR Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu
2025	C	`conf`	PIE: Permutation-Invariant Multi-Entity Evaluation. CoG Xue Yan, Haifeng Zhang, Yali Du, Jun Wang
2025	C	`conf`	PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments. CoG Olivier Schipper, Yudi Zhang, Yali Du, Mykola Pechenizkiy, Meng Fang
2025	J	`jnl`	PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments. CoRR Olivier Schipper, Yudi Zhang, Yali Du, Mykola Pechenizkiy, Meng Fang
2025	A*	`conf`	Quantifying the Self-Interest Level of Markov Social Dilemmas. IJCAI Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
2025	J	`jnl`	Quantifying the Self-Interest Level of Markov Social Dilemmas. CoRR Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
2025	A*	`conf`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. AAAI Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2025	A	`conf`	Resolving Social Dilemmas with Minimal Reward Transfer - Extended Abstract. AAMAS Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
2025	A*	`conf`	RuAG: Learned-rule-augmented Generation for Large Language Models. ICLR Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
2025	J	`jnl`	Self-Verifying Reflection Helps Transformers with CoT Reasoning. CoRR Zhongwei Yu, Wannian Xia, Xue Yan, Bo Xu, Haifeng Zhang, Yali Du, Jun Wang
2025	J	`jnl`	Social World Model-Augmented Mechanism Design Policy Learning. CoRR Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma, Zhixun Chen, Long Ma, Yali Du, Song-Chun Zhu, Yaodong Yang, Xue Feng
2025	J	`jnl`	SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas. CoRR Zihao Guo, Richard Willis, Shuqing Shi, Tristan Tomilin, Joel Z. Leibo, Yali Du
2025	—	`conf`	Spiral of Silence in Large Language Model Agents. EMNLP (Findings) Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025	J	`jnl`	Spiral of Silence in Large Language Model Agents. CoRR Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025	A*	`conf`	VLP: Vision-Language Preference Learning for Embodied Manipulation. EMNLP Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2025	J	`jnl`	VLP: Vision-Language Preference Learning for Embodied Manipulation. CoRR Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2025	J	`jnl`	Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma. CoRR Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
2025	A	`conf`	Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma. AAMAS Richard Willis, Yali Du, Joel Z. Leibo
2024	J	`jnl`	A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Alois Knoll
2024	A*	`conf`	Aligning Individual and Collective Objectives in Multi-Agent Cooperation. NeurIPS Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
2024	J	`jnl`	Aligning Individual and Collective Objectives in Multi-Agent Cooperation. CoRR Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
2024	J	`jnl`	All Language Models Large and Small. CoRR Zhixun Chen, Yali Du, David Mguni
2024	A*	`conf`	Characterizing Physical Adversarial Attacks on Robot Motion Planners. ICRA Wenxi Wu, Fabio Pierazzi, Yali Du, Martim Brandão
2024	A*	`conf`	Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. IJCAI Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo
2024	A	`conf`	Explaining an Agent's Future Beliefs Through Temporally Decomposing Future Reward Estimators. ECAI Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2024	J	`jnl`	Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators. CoRR Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2024	A*	`conf`	Human-Guided Moral Decision Making in Text-Based Games. AAAI Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang
2024	A*	`conf`	Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. NeurIPS Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
2024	J	`jnl`	Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. CoRR Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
2024	A*	`conf`	Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. NeurIPS Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
2024	J	`jnl`	Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
2024	J	`jnl`	Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Trans. Games Xingzhou Lou, Junge Zhang, Yali Du, Chao Yu, Zhaofeng He, Kaiqi Huang
2024	J	`jnl`	Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey. CoRR Ruiqi Zhang, Jing Hou, Florian Walter, Shangding Gu, Jiayi Guan, Florian Röhrbein, Yali Du, Panpan Cai, Guang Chen, Alois Knoll
2024	J	`jnl`	Natural Language Reinforcement Learning. CoRR Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang
2024	A*	`conf`	Off-Agent Trust Region Policy Optimization. IJCAI Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang
2024	A*	`conf`	PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. ICML Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
2024	A*	`conf`	Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting. NeurIPS Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang
2024	J	`jnl`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. CoRR Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2024	J	`jnl`	Resolving social dilemmas with minimal reward transfer. Auton. Agents Multi Agent Syst. Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
2024	J	`jnl`	RuAG: Learned-rule-augmented Generation for Large Language Models. CoRR Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
2024	A*	`conf`	STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. AAAI Sirui Chen, Zhaowei Zhang, Yaodong Yang, Yali Du
2024	J	`jnl`	Safe Multi-agent Reinforcement Learning with Natural Language Constraints. CoRR Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
2024	A	`conf`	Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. AAMAS Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
2024	J	`jnl`	Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models. CoRR Xingzhou Lou, Junge Zhang, Ziyan Wang, Kaiqi Huang, Yali Du
2024	A*	`conf`	Self-Guiding Exploration for Combinatorial Problems. NeurIPS Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takác
2024	J	`jnl`	Self-Guiding Exploration for Combinatorial Problems. CoRR Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takác
2024	A*	`conf`	TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. AAAI Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
2024	J	`jnl`	Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. J. Artif. Intell. Res. Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2024	J	`jnl`	Team-wise effective communication in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Ming Yang, Kaiyan Zhao, Yiming Wang, Renzhi Dong, Yali Du, Furui Liu, Mingliang Zhou, Leong Hou U
2024	—	`conf`	Temporal Explanations of Deep Reinforcement Learning Agents. EXTRAAMAS Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman
2024	A	`conf`	The Selfishness Level of Social Dilemmas. AAMAS Stefan Roesch, Stefanos Leonardos, Yali Du
2023	J	`jnl`	A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. CoRR Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Yaodong Yang, Jan Peters, Alois C. Knoll
2023	B	`conf`	A Multi-Agent Framework for Recommendation with Heterogeneous Sources. IJCNN Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai
2023	J	`jnl`	A Review of Cooperation in Multi-agent Learning. CoRR Yali Du, Joel Z. Leibo, Usman Islam, Richard Willis, Peter Sunehag
2023	J	`jnl`	A human-centered safe robot reinforcement learning framework with interactive behaviors. Frontiers Neurorobotics Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll
2023	A*	`conf`	An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. NeurIPS Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
2023	A*	`conf`	ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	ChessGPT: Bridging Policy Learning and Language Modeling. CoRR Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. CoRR Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali Du
2023	A*	`conf`	Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions. AAAI Yali Du
2023	A*	`conf`	Cooperative Open-ended Learning Framework for Zero-Shot Coordination. ICML Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2023	J	`jnl`	Cooperative Open-ended Learning Framework for Zero-shot Coordination. CoRR Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2023	J	`jnl`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2023	J	`jnl`	GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. CoRR Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
2023	A*	`conf`	Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. NeurIPS Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
2023	J	`jnl`	Introspective Tips: Large Language Model for In-Context Decision Making. CoRR Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023	A*	`conf`	Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
2023	J	`jnl`	Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang
2023	A	`conf`	Is Nash Equilibrium Approximator Learnable? AAMAS Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng
2023	J	`jnl`	MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment. CoRR Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang
2023	A	`conf`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	J	`jnl`	PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
2023	A*	`conf`	Reduced Policy Optimization for Continuous Control with Hard Constraints. NeurIPS Shutong Ding, Jingya Wang, Yali Du, Ye Shi
2023	J	`jnl`	Reduced Policy Optimization for Continuous Control with Hard Constraints. CoRR Shutong Ding, Jingya Wang, Yali Du, Ye Shi
2023	A	`conf`	Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
2023	J	`jnl`	Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CoRR Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
2023	J	`jnl`	Resolving social dilemmas with minimal reward transfer. CoRR Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
2023	J	`jnl`	STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning. CoRR Sirui Chen, Zhaowei Zhang, Yali Du, Yaodong Yang
2023	J	`jnl`	Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
2023	J	`jnl`	Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang
2023	A*	`conf`	Stay Moral and Explore: Learn to Behave Morally in Text-based Games. ICLR Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du
2023	J	`jnl`	TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. CoRR Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du
2023	J	`jnl`	Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination. CoRR Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
2023	—	`conf`	TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory. DASFAA (1) Ming Yang, Renzhi Dong, Yiming Wang, Furui Liu, Yali Du, Mingliang Zhou, Leong Hou U
2023	J	`jnl`	Zero-shot Preference Learning for Offline RL via Optimal Transport. CoRR Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
2022	J	`jnl`	A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
2022	J	`jnl`	Contextual Transformer for Offline Meta Reinforcement Learning. CoRR Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
2022	J	`jnl`	Diversity-augmented intrinsic motivation for deep reinforcement learning. Neurocomputing Tianhong Dai, Yali Du, Meng Fang, Anil Anthony Bharath
2022	J	`jnl`	Fully Decentralized Model-based Policy Optimization for Networked Systems. CoRR Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
2022	A	`conf`	GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	J	`jnl`	GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning. CoRR Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	A	`conf`	How to Train Your Agent: Active Learning from Human Preferences and Justifications in Safety-critical Environments. AAMAS Ilias Kazantzidis, Timothy J. Norman, Yali Du, Christopher T. Freeman
2022	J	`jnl`	Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection. CoRR Yang Yang, Hongjian Sun, Jialei Gong, Yali Du, Di Yu
2022	A*	`conf`	Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2022	J	`jnl`	Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
2022	A*	`conf`	Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. NeurIPS Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang
2022	—	`conf`	Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL (1) Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022	J	`jnl`	Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022	J	`jnl`	Reasoning and interaction for social artificial intelligence. AI Commun. Elizabeth Black, Martim Brandão, Oana Cocarascu, Bart de Keijzer, Yali Du, Derek Long, Michael Luck, Peter McBurney, Albert Meroño-Peñuela, Simon Miles, Sanjay Modgil, Luc Moreau, Maria Polukarov, Odinaldo Rodrigues, Carmine Ventre
2022	J	`jnl`	Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang
2022	A*	`conf`	Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. ICLR Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2022	J	`jnl`	Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL. CoRR Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2022	A	`conf`	Scalable Model-based Policy Optimization for Decentralized Networked Systems. IROS Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
2021	A*	`conf`	Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. ICML Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang
2021	—	`conf`	Generalization in Text-based Games via Hierarchical Reinforcement Learning. EMNLP (Findings) Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021	J	`jnl`	Generalization in Text-based Games via Hierarchical Reinforcement Learning. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021	A	`conf`	Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang
2021	A*	`conf`	Learning in Nonzero-Sum Stochastic Games with Potentials. ICML David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning to Compute Approximate Nash Equilibrium for Normal-form Games. CoRR Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng
2021	J	`jnl`	Learning to Shape Rewards using a Game of Switching Controls. CoRR David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
2021	J	`jnl`	MHER: Model-based Hindsight Experience Replay. CoRR Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li
2021	A*	`conf`	Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021	J	`jnl`	Ordering-Based Causal Discovery with Reinforcement Learning. CoRR Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
2021	A*	`conf`	Reinforcement Recommendation with User Multi-aspect Preference. WWW Xu Chen, Yali Du, Long Xia, Jun Wang
2021	—	`conf`	Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. DAI Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu
2020	A*	`conf`	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020	J	`jnl`	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020	—	`conf`	Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control. CASE Yifan Zhao, Gangyan Xu, Yali Du, Meng Fang
2019	A*	`conf`	Curriculum-guided Hindsight Experience Replay. NeurIPS Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang
2019	—	`—`	Design and evaluation of factorization-based algorithms for user preference analysis Yali Du
2019	J	`jnl`	Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. IEEE Trans. Multim. Yali Du, Meng Fang, Jinfeng Yi, Chang Xu, Jun Cheng, Dacheng Tao
2019	A*	`conf`	Exploring Content-based Video Relevance for Video Click-Through Rate Prediction. ACM Multimedia Xun Wang, Yali Du, Leimin Zhang, Xirong Li, Miao Zhang, Jianfeng Dong
2019	A*	`conf`	Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI. ICML Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang
2019	A*	`conf`	LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. NeurIPS Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao
2018	J	`jnl`	Matrix Factorization for Collaborative Budget Allocation. IEEE Trans Autom. Sci. Eng. Yali Du, Chang Xu, Dacheng Tao
2018	—	`conf`	Towards Query Efficient Black-box Attacks: An Input-free Perspective. AISec@CCS Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
2018	J	`jnl`	Towards Query Efficient Black-box Attacks: An Input-free Perspective. CoRR Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
2017	A*	`conf`	Collaborative Rating Allocation. IJCAI Yali Du, Chang Xu, Dacheng Tao
2017	A*	`conf`	Privileged Matrix Factorization for Collaborative Filtering. IJCAI Yali Du, Chang Xu, Dacheng Tao