Adapt Bagging to Nearest Neighbor Classifiers. - Zhi-Hua Zhou; Yang Yu 001 (J. Comput. Sci. Technol., 2005)

Ensembling local learners ThroughMultimodal perturbation. - Zhi-Hua Zhou; Yang Yu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Cocktail Ensemble for Regression. - Yang Yu 001; Zhi-Hua Zhou; Kai Ming Ting (ICDM, 2007)

Predicting Future Customers via Ensembling Gradually Expanded Trees. - Yang Yu 001; De-Chuan Zhan; Xu-Ying Liu; Ming Li 005; Zhi-Hua Zhou (Int. J. Data Warehous. Min., 2007)

On the usefulness of infeasible solutions in evolutionary search: A theoretical study. - Yang Yu 001; Zhi-Hua Zhou (IEEE Congress on Evolutionary Computation, 2008)

TEFE: A Time-Efficient Approach to Feature Extraction. - Li-Ping Liu 001; Yang Yu 001; Yuan Jiang 001; Zhi-Hua Zhou (ICDM, 2008)

A new approach to estimating the expected first hitting time of evolutionary algorithms. - Yang Yu 001; Zhi-Hua Zhou (Artif. Intell., 2008)

Spectrum of Variable-Random Trees. - Fei Tony Liu; Kai Ming Ting; Yang Yu 001; Zhi-Hua Zhou (J. Artif. Intell. Res., 2008)

Semi-naive Exploitation of One-Dependence Estimators. - Nan Li 019; Yang Yu 001; Zhi-Hua Zhou (ICDM, 2009)

Towards Analyzing Recombination Operators in Evolutionary Search. - Yang Yu 001; Chao Qian 001; Zhi-Hua Zhou (PPSN (1), 2010)

Evolutionary Algorithms as Guaranteed Approximation Optimizers - Yang Yu 001; Xin Yao 001; Zhi-Hua Zhou (CoRR, 2010)

A framework for modeling positive class expansion with single snapshot. - Yang Yu 001; Zhi-Hua Zhou (Knowl. Inf. Syst., 2010)

Collisions are helpful for computing unique input-output sequences. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (GECCO (Companion), 2011)

Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process. - Wang-Zhou Dai; Yang Yu 001; Zhi-Hua Zhou (ICDM Workshops, 2011)

Diversity Regularized Machine. - Yang Yu 001; Yufeng Li 008; Zhi-Hua Zhou (IJCAI, 2011)

Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem - Yang Yu 001; Chao Qian 001; Zhi-Hua Zhou (CoRR, 2011)

Multi-label hypothesis reuse. - Sheng-Jun Huang; Yang Yu 001; Zhi-Hua Zhou (KDD, 2012)

Diversity Regularized Ensemble Pruning. - Nan Li 019; Yang Yu 001; Zhi-Hua Zhou (ECML/PKDD (1), 2012)

On Algorithm-Dependent Boundary Case Identification for Problem Classes. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (PPSN (1), 2012)

On the approximation ability of evolutionary optimization with application to minimum set cover. - Yang Yu 001; Xin Yao 001; Zhi-Hua Zhou (Artif. Intell., 2012)

On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract. - Yang Yu 001; Xin Yao 001; Zhi-Hua Zhou (IJCAI, 2013)

Self-Practice Imitation Learning from Weak Policy. - Qing Da; Yang Yu 001; Zhi-Hua Zhou (PSL, 2013)

An analysis on recombination in multi-objective evolutionary optimization. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (Artif. Intell., 2013)

Learning with Augmented Class by Exploiting Unlabeled Data. - Qing Da; Yang Yu 001; Zhi-Hua Zhou (AAAI, 2014)

Napping for functional representation of policy. - Qing Da; Yang Yu 001; Zhi-Hua Zhou (AAMAS, 2014)

The sampling-and-learning framework: A statistical view of evolutionary algorithms. - Yang Yu 001; Hong Qian (IEEE Congress on Evolutionary Computation, 2014)

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. - Chao Qian 001; Yang Yu 001; Yaochu Jin; Zhi-Hua Zhou (PPSN, 2014)

Pareto Ensemble Pruning. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (AAAI, 2015)

Running time analysis: Convergence-based analysis reduces to switch analysis. - Yang Yu 001; Chao Qian 001 (CEC, 2015)

On Constrained Boolean Pareto Optimization. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (IJCAI, 2015)

Subset Selection by Pareto Optimization. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (NIPS, 2015)

Variable solution structure can be helpful in evolutionary optimization. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (Sci. China Inf. Sci., 2015)

A two-layer surrogate-assisted particle swarm optimization algorithm. - Chaoli Sun; Yaochu Jin; Jianchao Zeng 001; Yang Yu 001 (Soft Comput., 2015)

Switch Analysis for Running Time Analysis of Evolutionary Algorithms. - Yang Yu 001; Chao Qian 001; Zhi-Hua Zhou (IEEE Trans. Evol. Comput., 2015)

Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions. - Hong Qian; Yang Yu 001 (AAAI, 2016)

Derivative-Free Optimization via Classification. - Yang Yu 001; Hong Qian; Yi-Qi Hu (AAAI, 2016)

Boosting Nonparametric Policies. - Yang Yu 001; Peng-Fei Hou; Qing Da; Yu Qian (AAMAS, 2016)

A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods. - Yi-Qi Hu; Yang Yu 001 (BIC-TA (1), 2016)

On sampling-and-classification optimization in discrete domains. - Hong Qian; Yang Yu 001 (CEC, 2016)

A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (IDEAL, 2016)

Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. - Hong Qian; Yi-Qi Hu; Yang Yu 001 (IJCAI, 2016)

Parallel Pareto Optimization for Subset Selection. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001; Zhi-Hua Zhou (IJCAI, 2016)

Symbolic execution of complex program driven by machine learning based constraint solving. - Xin Li; Yongjuan Liang; Hong Qian; Yi-Qi Hu; Lei Bu; Yang Yu 001; Xin Chen 027; Xuandong Li (ASE, 2016)

Exploring Multi-action Relationship in Reinforcement Learning. - Han Wang; Yang Yu 001 (PRICAI, 2016)

Sequential Classification-Based Optimization for Direct Policy Search. - Yi-Qi Hu; Hong Qian; Yang Yu 001 (AAAI, 2017)

Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions. - Hong Qian; Yang Yu 001 (AAAI, 2017)

Evolutionary multi-objective optimization made faster by sequential decomposition. - Jing-Cheng Shi; Chao Qian 001; Yang Yu 001 (CEC, 2017)

On Subset Selection with General Cost Constraints. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001 (IJCAI, 2017)

Optimizing Ratio of Monotone Set Functions. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001; Zhi-Hua Zhou (IJCAI, 2017)

Life-Stage Modeling by Customer-Manifold Embedding. - Jing-Wen Yang 003; Yang Yu 001; Xiao-Peng Zhang (IJCAI, 2017)

Open Category Classification by Adversarial Sample Generation. - Yang Yu 001; Wei-Yang Qu; Nan Li 019; Zimin Guo (IJCAI, 2017)

AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles. - Jianbing Zhang; Yixin Sun; Shujian Huang; Cam-Tu Nguyen; Xiaoliang Wang 001; Xinyu Dai; Jiajun Chen 001; Yang Yu 001 (IJCAI, 2017)

Binary Linear Compression for Multi-label Classification. - Wen-Ji Zhou; Yang Yu 001; Min-Ling Zhang (IJCAI, 2017)

Subset Selection under Noise. - Chao Qian 001; Jing-Cheng Shi; Yang Yu 001; Ke Tang 001; Zhi-Hua Zhou (NIPS, 2017)

Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. - Chao Qian 001; Yang Yu 001; Ke Tang 001; Xin Yao 001; Zhi-Hua Zhou (CoRR, 2017)

Noisy Derivative-Free Optimization With Value Suppression. - Hong Wang; Hong Qian; Yang Yu 001 (AAAI, 2018)

An Alternating Minimization Approach to Optimizing Subarray Configuration for a Large Phased Array. - Wenqiang Pu; Yang Yu 001; Shuhua Yu; Zhi-Quan Luo (SAM, 2018)

Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. - Yi-Qi Hu; Yang Yu 001; Zhi-Hua Zhou (IJCAI, 2018)

Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. - Chao Qian 001; Yang Yu 001; Ke Tang 001 (IJCAI, 2018)

Towards Sample Efficient Reinforcement Learning. - Yang Yu 001 (IJCAI, 2018)

Mixture of GANs for Clustering. - Yang Yu 001; Wen-Ji Zhou (IJCAI, 2018)

Learning Environmental Calibration Actions for Policy Self-Evolution. - Chao Zhang; Yang Yu 001; Zhi-Hua Zhou (IJCAI, 2018)

Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation. - Shi-Yong Chen; Yang Yu 001; Qing Da; Jun Tan; Hai-Kuan Huang; Hai-Hong Tang (KDD, 2018)

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. - Yujing Hu; Qing Da; Anxiang Zeng; Yang Yu 001; Yinghui Xu (KDD, 2018)

Multi-Layered Gradient Boosting Decision Trees. - Ji Feng; Yang Yu 001; Zhi-Hua Zhou (NeurIPS, 2018)

ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. - Yu-Ren Liu; Yi-Qi Hu; Hong Qian; Yang Yu 001; Chao Qian 001 (CoRR, 2018)

Tunneling Neural Perception and Logic Reasoning through Abductive Learning. - Wang-Zhou Dai; Qiu-Ling Xu; Yang Yu 001; Zhi-Hua Zhou (CoRR, 2018)

Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection. - Yusen Zhan; Qing Da; Fei Xiao; Anxiang Zeng; Yang Yu 001 (CoRR, 2018)

Taking Human out of Learning Applications: A Survey on Automated Machine Learning. - Quanming Yao; Mengshuo Wang; Hugo Jair Escalante; Isabelle Guyon; Yi-Qi Hu; Yufeng Li 008; Wei-Wei Tu; Qiang Yang 001; Yang Yu 001 (CoRR, 2018)

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. - Chao Qian 001; Yang Yu 001; Ke Tang 001; Yaochu Jin; Xin Yao 001; Zhi-Hua Zhou (Evol. Comput., 2018)

Analyzing Evolutionary Optimization in Noisy Environments. - Chao Qian 001; Yang Yu 001; Zhi-Hua Zhou (Evol. Comput., 2018)

Reusable Reinforcement Learning via Shallow Trails. - Yang Yu 001; Shi-Yong Chen; Qing Da; Zhi-Hua Zhou (IEEE Trans. Neural Networks Learn. Syst., 2018)

Evolutionary Learning: Advances in Theories and Algorithms - Zhi-Hua Zhou; Yang Yu 001; Chao Qian 001 (Springer, 2019)

Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. - Yi-Qi Hu; Yang Yu 001; Wei-Wei Tu; Qiang Yang 001; Yuqiang Chen; Wenyuan Dai (AAAI, 2019)

On Reinforcement Learning for Full-Length Game of StarCraft. - Zhen-Jia Pang; Ruo-Ze Liu; Zhou-Yu Meng; Yi Zhang 108; Yang Yu 001; Tong Lu (AAAI, 2019)

Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. - Jing-Cheng Shi; Yang Yu 001; Qing Da; Shi-Yong Chen; Anxiang Zeng (AAAI, 2019)

Reinforcement Learning with Derivative-Free Exploration. - Xiong-Hui Chen; Yang Yu 001 (AAMAS, 2019)

Asynchronous classification-based optimization. - Yu-Ren Liu; Yi-Qi Hu; Hong Qian; Yang Yu 001 (DAI, 2019)

Only Image Cosine Embedding for Few-Shot Learning. - Songyi Gao; Weijie Shen; Zelin Liu; An Zhu; Yang Yu 001 (ICONIP (2), 2019)

Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. - Yi-Qi Hu; Yang Yu 001; Jun-Da Liao (IJCAI, 2019)

Reinforcement Learning Experience Reuse with Policy Residual Representation. - Wen-Ji Zhou; Yang Yu 001; Yingfeng Chen; Kai Guan; Tangjie Lv; Changjie Fan; Zhi-Hua Zhou (IJCAI, 2019)

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. - Wenjie Shang; Yang Yu 001; Qingyang Li 001; Zhiwei (Tony) Qin; Yiping Meng; Jieping Ye (KDD, 2019)

Bridging Machine Learning and Logical Reasoning by Abductive Learning. - Wang-Zhou Dai; Qiu-Ling Xu; Yang Yu 001; Zhi-Hua Zhou (NeurIPS, 2019)

Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. - Chao Qian 001; Yang Yu 001; Ke Tang 001; Xin Yao 001; Zhi-Hua Zhou (Artif. Intell., 2019)

Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II. - Ruo-Ze Liu; Haifeng Guo; Xiaozhong Ji; Yang Yu 001; Zitai Xiao; Yuzhou Wu; Zhen-Jia Pang; Tong Lu (CoRR, 2019)

Towards AutoML in the presence of Drift: first results. - Jorge G. Madrid; Hugo Jair Escalante; Eduardo F. Morales 001; Wei-Wei Tu; Yang Yu 001; Lisheng Sun-Hosoya; Isabelle Guyon; Michèle Sebag (CoRR, 2019)

On the Robustness of Median Sampling in Noisy Evolutionary Optimization. - Chao Bian 002; Chao Qian 001; Yang Yu 001 (CoRR, 2019)

On Value Discrepancy of Imitation Learning. - Tian Xu 003; Ziniu Li; Yang Yu 001 (CoRR, 2019)

Improving Fictitious Play Reinforcement Learning with Expanding Models. - Rong-Jun Qin; Jing-Cheng Pang; Yang Yu 001 (CoRR, 2019)

An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. - Chao Bian 002; Chao Feng 006; Chao Qian 001; Yang Yu 001 (AAAI, 2020)

Reinforcement Learning with Action-Specific Focuses in Video Games. - Meng Wang 016; Yingfeng Chen; Tangjie Lv; Yan Song; Kai Guan; Changjie Fan; Yang Yu 001 (CoG, 2020)

Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning. - Yi-Qi Hu; Zelin Liu; Hua Yang; Yang Yu 001; Yunfeng Liu (ECAI, 2020)

Offline Imitation Learning with a Misspecified Simulator. - Shengyi Jiang; Jing-Cheng Pang; Yang Yu 001 (NeurIPS, 2020)

Error Bounds of Imitating Policies and Environments. - Tian Xu 003; Ziniu Li; Yang Yu 001 (NeurIPS, 2020)

Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images. - Chengjie Niu; Yang Yu 001; Zhenwei Bian; Jun Li 042; Kai Xu 004 (Comput. Graph. Forum, 2020)

Temporal-adaptive Hierarchical Reinforcement Learning. - Wen-Ji Zhou; Yang Yu 001 (CoRR, 2020)

Novelty-Prepared Few-Shot Classification. - Chao Wang; Ruo-Ze Liu; Han-Jia Ye; Yang Yu 001 (CoRR, 2020)

Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Wen-Ji Zhou; Qing Da; Anxiang Zeng; Yang Yu 001 (CoRR, 2020)

A technical view on neural architecture search. - Yi-Qi Hu; Yang Yu 001 (Int. J. Mach. Learn. Cybern., 2020)

Running time analysis of the (1+1)-EA for robust linear optimization. - Chao Bian 002; Chao Qian 001; Ke Tang 001; Yang Yu 001 (Theor. Comput. Sci., 2020)

LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). - Chenyang Wu 001; Rui Kong; Guoyu Yang; Xianghan Kong; Zongzhang Zhang; Yang Yu 001; Dong Li 007; Wulong Liu (AAAI, 2021)

Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). - Feng Xu 007; Shengyi Jiang; Hao Yin; Zongzhang Zhang; Yang Yu 001; Ming Li 005; Dong Li 016; Wulong Liu (AAAI, 2021)

QPLEX: Duplex Dueling Multi-Agent Q-Learning. - Jianhao Wang; Zhizhou Ren; Terry Liu; Yang Yu 001; Chongjie Zhang (ICLR, 2021)

Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints. - Chao Bian 002; Chao Qian 001; Frank Neumann 001; Yang Yu 001 (IJCAI, 2021)

Sequential and Dynamic constraint Contrastive Learning for Reinforcement Learning. - Weijie Shen; Lei Yuan 005; Junfu Huang; Songyi Gao; Yuyang Huang; Yang Yu 001 (IJCNN, 2021)

Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. - Xiong-Hui Chen; Shengyi Jiang; Feng Xu 007; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2021)

Offline Model-based Adaptable Policy Learning. - Xiong-Hui Chen; Yang Yu 001; Qingyang Li 001; Fan-Ming Luo; Zhiwei (Tony) Qin; Wenjie Shang; Jieping Ye (NeurIPS, 2021)

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. - Xu-Hui Liu; Zhenghai Xue; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (NeurIPS, 2021)

Adaptive Online Packing-guided Search for POMDPs. - Chenyang Wu 001; Guoyu Yang; Zongzhang Zhang; Yang Yu 001; Dong Li 016; Wulong Liu; Jianye Hao (NeurIPS, 2021)

Improving Search Engine Efficiency through Contextual Factor Selection. - Anxiang Zeng; Han Yu 001; Qing Da; Yusen Zhan; Yang Yu 001; Jingren Zhou 001; Chunyan Miao (AI Mag., 2021)

Analysis of Noisy Evolutionary Optimization When Sampling Fails. - Chao Qian 001; Chao Bian 002; Yang Yu 001; Ke Tang 001; Xin Yao 001 (Algorithmica, 2021)

On the robustness of median sampling in noisy evolutionary optimization. - Chao Bian 002; Chao Qian 001; Yang Yu 001; Ke Tang 001 (Sci. China Inf. Sci., 2021)

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Rongjun Qin; Songyi Gao; Xingyuan Zhang; Zhen Xu; Shengkai Huang; Zewen Li; Weinan Zhang 001; Yang Yu 001 (CoRR, 2021)

Derivative-Free Reinforcement Learning: A Review. - Hong Qian; Yang Yu 001 (CoRR, 2021)

An Introduction of mini-AlphaStar. - Ruo-Ze Liu; Wenhai Wang; Yanjie Shen; Zhiqi Li; Yang Yu 001; Tong Lu (CoRR, 2021)

Regret Minimization Experience Replay. - Zhenghai Xue; Xu-Hui Liu; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (CoRR, 2021)

Sparsity Prior Regularized Q-learning for Sparse Action Tasks. - Jing-Cheng Pang; Tian Xu 003; Shengyi Jiang; Yu-Ren Liu; Yang Yu 001 (CoRR, 2021)

Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions. - Tian Xu 003; Ziniu Li; Yang Yu 001 (CoRR, 2021)

Imitate TheWorld: A Search Engine Simulation Platform. - Yongqing Gao; Guangda Huzhang; Weijie Shen; Yawen Liu; Wen-Ji Zhou; Qing Da; Dan Shen; Yang Yu 001 (CoRR, 2021)

Neural-to-Tree Policy Distillation with Policy Improvement Criterion. - Zhao-Hua Li; Yang Yu 001; Yingfeng Chen; Ke Chen 005; Zhipeng Hu; Changjie Fan (CoRR, 2021)

LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates. - Jiahan Cao; Lei Yuan 005; Jianhao Wang; Shaowei Zhang; Chongjie Zhang; Yang Yu 001; De-Chuan Zhan (CoRR, 2021)

Online Allocation with Two-sided Resource Constraints. - Qixin Zhang 001; Wenbing Ye; Zaiyi Chen; Haoyuan Hu; Enhong Chen; Yang Yu 001 (CoRR, 2021)

Machine learning steered symbolic execution framework for complex software code. - Lei Bu; Yongjuan Liang; Zhunyi Xie; Hong Qian; Yi-Qi Hu; Yang Yu 001; Xin Chen 027; Xuandong Li (Formal Aspects Comput., 2021)

Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. - Wenjie Shang; Qingyang Li 001; Zhiwei (Tony) Qin; Yang Yu 001; Yiping Meng; Jieping Ye (Mach. Learn., 2021)

Guest Editorial: Automated Machine Learning. - Hugo Jair Escalante; Quanming Yao; Wei-Wei Tu; Nelishia Pillay; Rong Qu; Yang Yu 001; Neil Houlsby (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. - Fan-Ming Luo; Shengyi Jiang; Yang Yu 001; Zongzhang Zhang; Yi-Feng Zhang (AAAI, 2022)

Multi-Agent Incentive Communication via Decentralized Teammate Modeling. - Lei Yuan 005; Jianhao Wang; Fuxiang Zhang; Chenghe Wang; Zongzhang Zhang; Yang Yu 001; Chongjie Zhang (AAAI, 2022)

Invariant Action Effect Model for Reinforcement Learning. - Zheng-Mao Zhu; Shengyi Jiang; Yu-Ren Liu; Yang Yu 001; Kun Zhang 001 (AAAI, 2022)

A Searchable Re-encryption-based Scheme for Massive Data Transactions. - Yang Yu 001; Rui Jin; Hao Yin; Keke Gai; Zijian Zhang 001 (CSCloud/EdgeCom, 2022)

Context-Aware Sparse Deep Coordination Graphs. - Tonghan Wang 001; Liang Zeng 002; Weijun Dong; Qianlan Yang; Yang Yu 001; Chongjie Zhang (ICLR, 2022)

Active Hierarchical Exploration with Stable Subgoal Representation Learning. - Siyuan Li 003; Jin Zhang 016; Jianhao Wang; Yang Yu 001; Chongjie Zhang (ICLR, 2022)

Learning Efficient Online 3D Bin Packing on Packing Configuration Trees. - Hang Zhao; Yang Yu 001; Kai Xu 004 (ICLR, 2022)

The Teaching Dimension of Regularized Kernel Learners. - Hong Qian; Xu-Hui Liu; Chen-Xi Su; Aimin Zhou; Yang Yu 001 (ICML, 2022)

Efficient Multi-Agent Communication via Shapley Message Value. - Di Xue; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (IJCAI, 2022)

Multi-Agent Concentrative Coordination with Decentralized Task Representation. - Lei Yuan 005; Chenghe Wang; Jianhao Wang; Fuxiang Zhang; Feng Chen 042; Cong Guan; Zongzhang Zhang; Chongjie Zhang; Yang Yu 001 (IJCAI, 2022)

Multi-agent Dynamic Algorithm Configuration. - Ke Xue 001; Jiacheng Xu 003; Lei Yuan 005; Miqing Li; Chao Qian 001; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2022)

Efficient Multi-agent Communication via Self-supervised Information Aggregation. - Cong Guan; Feng Chen 042; Lei Yuan 005; Chenghe Wang; Hao Yin; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2022)

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Rongjun Qin; Xingyuan Zhang; Songyi Gao; Xiong-Hui Chen; Zewen Li; Weinan Zhang 001; Yang Yu 001 (NeurIPS, 2022)

Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. - Chenyang Wu 001; Tianci Li; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2022)

ZOOpt: a toolbox for derivative-free optimization. - Yu-Ren Liu; Yi-Qi Hu; Hong Qian; Chao Qian 001; Yang Yu 001 (Sci. China Inf. Sci., 2022)

Rethinking ValueDice: Does It Really Improve Performance? - Ziniu Li; Tian Xu 003; Yang Yu 001; Zhi-Quan Luo (CoRR, 2022)

Multi-Agent Policy Transfer via Task Relationship Modeling. - Rongjun Qin; Feng Chen 042; Tonghan Wang 001; Lei Yuan 005; Xiaoran Wu; Zongzhang Zhang; Chongjie Zhang; Yang Yu 001 (CoRR, 2022)

A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle. - Ziniu Li; Tian Xu 003; Yang Yu 001 (CoRR, 2022)

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble. - Fan-Ming Luo; Xingchen Cao; Yang Yu 001 (CoRR, 2022)

Offline Reinforcement Learning with Causal Structured World Models. - Zheng-Mao Zhu; Xiong-Hui Chen; Hong-Long Tian; Kun Zhang 001; Yang Yu 001 (CoRR, 2022)

Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning. - Xue-Kun Jin; Xu-Hui Liu; Shengyi Jiang; Yang Yu 001 (CoRR, 2022)

Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis. - Tian Xu 003; Ziniu Li; Yang Yu 001; Zhi-Quan Luo (CoRR, 2022)

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. - Ke Xue 001; Yutong Wang; Lei Yuan 005; Cong Guan; Chao Qian 001; Yang Yu 001 (CoRR, 2022)

Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games. - Rong-Jun Qin; Fan-Ming Luo; Hong Qian; Yang Yu 001 (CoRR, 2022)

On Efficient Reinforcement Learning for Full-length Game of StarCraft II. - Ruo-Ze Liu; Zhen-Jia Pang; Zhou-Yu Meng; Wenhai Wang; Yang Yu 001; Tong Lu (J. Artif. Intell. Res., 2022)

Improve generated adversarial imitation learning with reward variance regularization. - Yi-Feng Zhang; Fan-Ming Luo; Yang Yu 001 (Mach. Learn., 2022)

Cascaded Algorithm Selection With Extreme-Region UCB Bandit. - Yi-Qi Hu; Xu-Hui Liu; Shu-Qiao Li; Yang Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Error Bounds of Imitating Policies and Environments for Reinforcement Learning. - Tian Xu 003; Ziniu Li; Yang Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning. - Ruo-Ze Liu; Haifeng Guo; Xiaozhong Ji; Yang Yu 001; Zhen-Jia Pang; Zitai Xiao; Yuzhou Wu; Tong Lu (IEEE Trans. Games, 2022)

A Lightweight Encoder-Decoder Path for Deep Residual Networks. - Xin Jin 023; Yanping Xie; Xiu-Shen Wei; Borui Zhao; Yongshun Zhang; Xiaoyang Tan; Yang Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multi-view 2D-3D alignment with hybrid bundle adjustment for visual metrology. - Yang Yu 001; Chengjie Niu; Jun Li 042; Kai Xu 004 (Vis. Comput., 2022)

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. - Yang Yu 001; Qi Liu 003; Likang Wu; Runlong Yu; Sanshi Lei Yu; Zaixi Zhang (AAAI, 2023)

Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). - Chao Chen 028; Dawei Wang; Feng Mao; Zongzhang Zhang; Yang Yu 001 (AAAI, 2023)

Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). - Yi-Chen Li 001; Wen-Jie Shen; Boyu Zhang; Feng Mao; Zongzhang Zhang; Yang Yu 001 (AAAI, 2023)

Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. - Weijian Liao; Zongzhang Zhang; Yang Yu 001 (AAAI, 2023)

Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). - Aoran Wang; Hongyang Yang; Feng Mao; Zongzhang Zhang; Yang Yu 001; Xiaoyang Liu (AAAI, 2023)

Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. - Lei Yuan 005; Ziqian Zhang; Ke Xue 001; Hao Yin; Feng Chen 042; Cong Guan; Lihe Li; Chao Qian 001; Yang Yu 001 (AAAI, 2023)

Model-Based Offline Weighted Policy Optimization (Student Abstract). - Renzhe Zhou; Zongzhang Zhang; Yang Yu 001 (AAAI, 2023)

How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. - Xu-Hui Liu; Feng Xu 007; Xinyu Zhang; Tianyuan Liu; Shengyi Jiang; Ruifeng Chen 003; Zongzhang Zhang; Yang Yu 001 (AAMAS, 2023)

Self-Motivated Multi-Agent Exploration. - Shaowei Zhang; Jiahan Cao; Lei Yuan 005; Yang Yu 001; De-Chuan Zhan (AAMAS, 2023)

Learning to Coordinate with Anyone. - Lei Yuan 005; Lihe Li; Ziqian Zhang; Feng Chen 042; Tianyi Zhang; Cong Guan; Yang Yu 001; Zhi-Hua Zhou (DAI, 2023)

Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation. - Haoxin Lin; Yihao Sun; Jiaji Zhang; Yang Yu 001 (ECAI, 2023)

Degradation-Resistant Offline Optimization via Accumulative Risk Control. - Huakang Lu; Hong Qian; Yupeng Wu; Ziqi Liu; Ya-Lin Zhang 001; Aimin Zhou; Yang Yu 001 (ECAI, 2023)

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. - Xiong-Hui Chen; Bowei He; Yang Yu 001; Qingyang Li 001; Zhiwei Tony Qin; Wenjie Shang; Jieping Ye; Chen Ma 001 (ICDE, 2023)

Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. - Fuxiang Zhang; Chengxing Jia; Yi-Chen Li 001; Lei Yuan 005; Yang Yu 001; Zongzhang Zhang (ICLR, 2023)

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. - Yuhang Ran; Yi-Chen Li 001; Fuxiang Zhang; Zongzhang Zhang; Yang Yu 001 (ICML, 2023)

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning. - Yihao Sun; Jiaji Zhang; Chengxing Jia; Haoxin Lin; Junyin Ye; Yang Yu 001 (ICML, 2023)

Object-Oriented Option Framework for Robotics Manipulation in Clutter. - Jing-Cheng Pang; Si-Hang Yang; Xiong-Hui Chen; Xinyu Yang; Yang Yu 001; Mas Ma; Ziqi Guo; Howard Yang; Bill Huang (IROS, 2023)

Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. - Jiacheng Xu 003; Chao Chen 028; Fuxiang Zhang; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (KDD, 2023)

Adversarial Counterfactual Environment Model Learning. - Xiong-Hui Chen; Yang Yu 001; Zhengmao Zhu; Zhihua Yu; Zhenjun Chen; Chenghe Wang; Yinan Wu; Rong-Jun Qin; Hongqiu Wu; Ruijin Ding; Fangsheng Huang (NeurIPS, 2023)

Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. - Ziniu Li; Tian Xu 003; Zeyu Qin; Yang Yu 001; Zhi-Quan Luo (NeurIPS, 2023)

Learning World Models with Identifiable Factorization. - Yuren Liu; Biwei Huang; Zhengmao Zhu; Hong-Long Tian; Mingming Gong; Yang Yu 001; Kun Zhang 001 (NeurIPS, 2023)

Natural Language Instruction-following with Task-related Language Development and Translation. - Jing-Cheng Pang; Xinyu Yang; Si-Hang Yang; Xiong-Hui Chen; Yang Yu 001 (NeurIPS, 2023)

Provably Efficient Adversarial Imitation Learning with Unknown Transitions. - Tian Xu 003; Ziniu Li; Yang Yu 001; Zhi-Quan Luo (UAI, 2023)

Fast Teammate Adaptation in the Presence of Sudden Policy Change. - Ziqian Zhang; Lei Yuan 005; Lihe Li; Ke Xue 001; Chengxing Jia; Cong Guan; Chao Qian 001; Yang Yu 001 (UAI, 2023)

Theoretical Analysis of Offline Imitation With Supplementary Dataset. - Ziniu Li; Tian Xu 003; Yang Yu 001; Zhi-Quan Luo (CoRR, 2023)

Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation. - Jing-Cheng Pang; Xinyu Yang; Si-Hang Yang; Yang Yu 001 (CoRR, 2023)

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning. - Cong Guan; Feng Chen 042; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (CoRR, 2023)

Beware of Instantaneous Dependence in Reinforcement Learning. - Zheng-Mao Zhu; Yu-Ren Liu; Hong-Long Tian; Yang Yu 001; Kun Zhang 001 (CoRR, 2023)

Robust Multi-agent Communication via Multi-view Message Certification. - Lei Yuan 005; Tao Jiang; Lihe Li; Feng Chen 042; Zongzhang Zhang; Yang Yu 001 (CoRR, 2023)

Multi-agent Continual Coordination via Progressive Task Contextualization. - Lei Yuan 005; Lihe Li; Ziqian Zhang; Fuxiang Zhang; Cong Guan; Yang Yu 001 (CoRR, 2023)

Learning World Models with Identifiable Factorization. - Yu-Ren Liu; Biwei Huang; Zheng-Mao Zhu; Hong-Long Tian; Mingming Gong; Yang Yu 001; Kun Zhang 001 (CoRR, 2023)

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Anqi Huang; Kai Xu 004; Zongzhang Zhang; Yang Yu 001 (CoRR, 2023)

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. - Ziniu Li; Tian Xu 003; Yushun Zhang; Yang Yu 001; Ruoyu Sun 001; Zhi-Quan Luo (CoRR, 2023)

Efficient Human-AI Coordination via Preparatory Language-based Convention. - Cong Guan; Lichao Zhang; Chunpeng Fan; Yichen Li; Feng Chen 042; Lihe Li; Yunjia Tian; Lei Yuan 005; Yang Yu 001 (CoRR, 2023)

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment. - Lei Yuan 005; Ziqian Zhang; Lihe Li; Cong Guan; Yang Yu 001 (CoRR, 2023)

Policy Optimization in RLHF: The Impact of Out-of-preference Data. - Ziniu Li; Tian Xu 003; Yang Yu 001 (CoRR, 2023)

AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Yawen Liu; Weijie Shen; Wen-Ji Zhou; Qianying Lin; Qing Da; Anxiang Zeng; Han Yu 001; Yang Yu 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2023)

Memory-efficient Transformer-based network model for Traveling Salesman Problem. - Hua Yang; Minghao Zhao 001; Lei Yuan 005; Yang Yu 001; Zhenhua Li 001; Ming Gu (Neural Networks, 2023)

Learning Physically Realizable Skills for Online Packing of General 3D Shapes. - Hang Zhao; Zherong Pan; Yang Yu 001; Kai Xu 004 (ACM Trans. Graph., 2023)

Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. - Xiong-Hui Chen; Fan-Ming Luo; Yang Yu 001; Qingyang Li 001; Zhiwei Qin 001; Wenjie Shang; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fully Decentralized Multiagent Communication via Causal Inference. - Han Wang; Yang Yu 001; Yuan Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. - Chao Chen 028; Jiacheng Xu 003; Weijian Liao; Hao Ding; Zongzhang Zhang; Yang Yu 001; Rui Zhao (AAAI, 2024)

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. - Chenxiao Gao; Chenyang Wu 001; Mingjun Cao; Rui Kong; Zongzhang Zhang; Yang Yu 001 (AAAI, 2024)

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. - Haoxin Lin; Hongqiu Wu; Jiaji Zhang; Yihao Sun; Junyin Ye; Yang Yu 001 (AAAI, 2024)

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. - Renzhe Zhou; Chenxiao Gao; Zongzhang Zhang; Yang Yu 001 (AAAI, 2024)

Foresight Distribution Adjustment for Off-policy Reinforcement Learning. - Ruifeng Chen 003; Xu-Hui Liu; Tian-Shuo Liu; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (AAMAS, 2024)

Deep Anomaly Detection via Active Anomaly Search. - Chao Chen 028; Dawei Wang; Feng Mao; Jiacheng Xu 003; Zongzhang Zhang; Yang Yu 001 (AAMAS, 2024)

Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation. - Cong Guan; Ruiqi Xue; Ziqian Zhang; Lihe Li; Yi-Chen Li 001; Lei Yuan 005; Yang Yu 001 (AAMAS, 2024)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. - Chengxing Jia; Fuxiang Zhang; Yi-Chen Li 001; Chenxiao Gao; Xu-Hui Liu; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (AAMAS, 2024)

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. - Chengxing Jia; Chenxiao Gao; Hao Yin; Fuxiang Zhang; Xiong-Hui Chen; Tian Xu 003; Lei Yuan 005; Zongzhang Zhang; Zhi-Hua Zhou; Yang Yu 001 (ICLR, 2024)

When is RL better than DPO in RLHF? A Representation and Optimization Perspective. - Ziniu Li; Tian Xu 003; Yang Yu 001 (Tiny Papers @ ICLR, 2024)

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. - Fan-Ming Luo; Tian Xu 003; Xingchen Cao; Yang Yu 001 (ICLR, 2024)

Language Model Self-improvement by Reinforcement Learning Contemplation. - Jing-Cheng Pang; Pengyuan Wang; Kaiyuan Li; Xiong-Hui Chen; Jiacheng Xu 003; Zongzhang Zhang; Yang Yu 001 (ICLR, 2024)

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation. - Zhilong Zhang; Yihao Sun; Junyin Ye; Tian-Shuo Liu; Jiaji Zhang; Yang Yu 001 (ICLR, 2024)

Policy-conditioned Environment Models are More Generalizable. - Ruifeng Chen 003; Xiong-Hui Chen; Yihao Sun; Siyuan Xiao; Minhui Li; Yang Yu 001 (ICML, 2024)

Offline Transition Modeling via Contrastive Energy Learning. - Ruifeng Chen 003; Chengxing Jia; Zefang Huang; Tian-Shuo Liu; Xu-Hui Liu; Yang Yu 001 (ICML, 2024)

Limited Preference Aided Imitation Learning from Imperfect Demonstrations. - Xingchen Cao; Fan-Ming Luo; Junyin Ye; Tian Xu 003; Zhilong Zhang; Yang Yu 001 (ICML, 2024)

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; XuHui Liu; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Yang Yu 001; Anqi Huang; Kai Xu 004; et al. (ICML, 2024)

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. - Ziniu Li; Tian Xu 003; Yushun Zhang; Zhihang Lin; Yang Yu 001; Ruoyu Sun 001; Zhi-Quan Luo (ICML, 2024)

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. - Xu-Hui Liu; Tian-Shuo Liu; Shengyi Jiang; Ruifeng Chen 003; Zhilong Zhang; Xinwei Chen; Yang Yu 001 (ICML, 2024)

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. - Xinyu Zhang; Wenjie Qiu 005; Yi-Chen Li 001; Lei Yuan 005; Chengxing Jia; Zongzhang Zhang; Yang Yu 001 (ICML, 2024)

Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. - Lihe Li; Ruotong Chen; Ziqian Zhang; Zhichao Wu; Yi-Chen Li 001; Cong Guan; Yang Yu 001; Lei Yuan 005 (IJCAI, 2024)

Beimingwu: A Learnware Dock System. - Zhi-Hao Tan; Jian-Dong Liu; Xiao-Dong Bi; Peng Tan 002; Qin-Cheng Zheng; Hai-Tian Liu; Yi Xie; Xiao-Chuan Zou; Yang Yu 001; Zhi-Hua Zhou (KDD, 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)

Multi-Agent Domain Calibration with a Handful of Offline Data. - Tao Jiang; Lei Yuan 005; Lihe Li; Cong Guan; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2024)

Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate. - Fan-Ming Luo; Zuolin Tu; Zefang Huang; Yang Yu 001 (NeurIPS, 2024)

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (NeurIPS, 2024)

Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator. - Ruiqi Xue; Ziqian Zhang; Lihe Li; Feng Chen 042; Yi-Chen Li 001; Yang Yu 001; Lei Yuan 005 (ECML/PKDD (7), 2024)

A survey on model-based reinforcement learning. - Fan-Ming Luo; Tian Xu 003; Hang Lai; Xiong-Hui Chen; Weinan Zhang 001; Yang Yu 001 (Sci. China Inf. Sci., 2024)

Multi-agent policy transfer via task relationship modeling. - Rongjun Qin; Feng Chen 042; Tonghan Wang 001; Lei Yuan 005; Xiaoran Wu; Yipeng Kang; Zongzhang Zhang; Chongjie Zhang; Yang Yu 001 (Sci. China Inf. Sci., 2024)

Robust cooperative multi-agent reinforcement learning via multi-view message certification. - Lei Yuan 005; Tao Jiang; Lihe Li; Feng Chen 042; Zongzhang Zhang; Yang Yu 001 (Sci. China Inf. Sci., 2024)

Empowering Language Models with Active Inquiry for Deeper Understanding. - Jing-Cheng Pang; Heng-Bo Fan; Pengyuan Wang; Jiahao Xiao; Nan Tang; Si-Hang Yang; Chengxing Jia; Sheng-Jun Huang; Yang Yu 001 (CoRR, 2024)

Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (CoRR, 2024)

BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation. - Chengxing Jia; Pengyuan Wang; Ziniu Li; Yi-Chen Li 001; Zhilong Zhang; Nan Tang; Yang Yu 001 (CoRR, 2024)

Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. - Yi-Chen Li 001; Fuxiang Zhang; Wenjie Qiu 005; Lei Yuan 005; Chengxing Jia; Zongzhang Zhang; Yang Yu 001 (CoRR, 2024)

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. - Fuxiang Zhang; Junyou Li; Yi-Chen Li 001; Zongzhang Zhang; Yang Yu 001; Deheng Ye (CoRR, 2024)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. - Chen-Xiao Gao; Shengjun Fang; Chenjun Xiao; Yang Yu 001; Zongzhang Zhang (CoRR, 2024)

WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making. - Zhilong Zhang; Ruifeng Chen 003; Junyin Ye; Yihao Sun; Pengyuan Wang; Jingcheng Pang; Kaiyuan Li; Tianshuo Liu; Haoxin Lin; Yang Yu 001; Zhi-Hua Zhou (CoRR, 2024)

Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay. - Feng Chen 042; Fuguang Han; Cong Guan; Lei Yuan 005; Zhilong Zhang; Yang Yu 001; Zongzhang Zhang (CoRR, 2024)

A Blockchain-Based Privacy-Preserving Scheme for Sealed-Bid Auction. - Zijian Zhang 001; Xin Lu; Meng Li 006; Jincheng An; Yang Yu 001; Hao Yin; Liehuang Zhu; Yong Liu; Jiamou Liu; Bakh Khoussainov (IEEE Trans. Dependable Secur. Comput., 2024)

One by One, Continual Coordinating with Humans via Hyper-Teammate Identification. - Cong Guan; Feng Chen 042; Ke Xue 001; Chunpeng Fan; Lichao Zhang; Ziqian Zhang; Pengyao Zhao; Zongzhang Zhang; Chao Qian 001; Lei Yuan 005; Yang Yu 001 (Trans. Mach. Learn. Res., 2024)

MixLight: Mixed-Agent Cooperative Reinforcement Learning for Traffic Light Control. - Ming Yang; Yiming Wang; Yang Yu 001; Mingliang Zhou 001; Leong Hou U (IEEE Trans. Ind. Informatics, 2024)

Revisiting of AlphaStar. - Ruo-Ze Liu; Yanjie Shen; Yang Yu 001; Tong Lu (IEEE Trans. Games, 2024)

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. - Zhengbang Zhu; Rongjun Qin; Junjie Huang; Xinyi Dai; Yang Yu 001; Yong Yu 001; Weinan Zhang 001 (ACM Trans. Inf. Syst., 2024)

Model gradient: unified model and policy learning in model-based reinforcement learning. - Chengxing Jia; Fuxiang Zhang; Tian Xu 003; Jing-Cheng Pang; Zongzhang Zhang; Yang Yu 001 (Frontiers Comput. Sci., 2024)

Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation. - Lei Yuan 005; Feng Chen 042; Zongzhang Zhang; Yang Yu 001 (Frontiers Comput. Sci., 2024)

Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching. - Lei Yuan 005; Yuqi Bian; Lihe Li; Ziqian Zhang; Cong Guan; Yang Yu 001 (ICLR, 2025)

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. - Yi-Chen Li 001; Fuxiang Zhang; Wenjie Qiu 005; Lei Yuan 005; Chengxing Jia; Zongzhang Zhang; Yang Yu 001; Bo An 001 (ICLR, 2025)

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. - Haoxin Lin; Yu-Yan Xu; Yihao Sun; Zhilong Zhang; Yi-Chen Li 001; Chengxing Jia; Junyin Ye; Jiaji Zhang; Yang Yu 001 (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)

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning. - Tian-Shuo Liu; Xu-Hui Liu; Ruifeng Chen 003; Lixuan Jin; Pengyuan Wang; Zhilong Zhang; Yang Yu 001 (ICLR, 2025)

Learning View-invariant World Models for Visual Robotic Manipulation. - Jing-Cheng Pang; Nan Tang; Kaiyuan Li; Yuting Tang; Xin-Qiang Cai; Zhen-Yu Zhang; Gang Niu 001; Masashi Sugiyama; Yang Yu 001 (ICLR, 2025)

SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization. - Hong Qian; Yiyi Zhu; Xiang Shu; Shuo Liu; Yaolin Wen; Xin An; Huakang Lu; Aimin Zhou; Ke Tang 001; Yang Yu 001 (ICLR, 2025)

Constraining an Unconstrained Multi-agent Policy with offline data. - Cong Guan; Tao Jiang; Yi-Chen Li 001; Zongzhang Zhang; Lei Yuan 005; Yang Yu 001 (Neural Networks, 2025)

Efficient Multi-Agent Cooperation Learning through Teammate Lookahead. - Feng Chen 042; Xinwei Chen; Rong-Jun Qin; Cong Guan; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (Trans. Mach. Learn. Res., 2025)

Interactive Large Language Models for Reliable Answering under Incomplete Context. - Jing-Cheng Pang; Heng-Bo Fan; Pengyuan Wang; Jiahao Xiao; Nan Tang; Si-Hang Yang; Chengxing Jia; Ming-Kun Xie; Xiang Chen 016; Sheng-Jun Huang; Yang Yu 001 (Trans. Mach. Learn. Res., 2025)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. - Chen-Xiao Gao; Chenyang Wu 001; Mingjun Cao; Chenjun Xiao; Yang Yu 001; Zongzhang Zhang (CoRR, 2025)

Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference. - Wenjie Qiu 005; Yi-Chen Li 001; Xuqin Zhang; Tianyi Zhang; Yihang Zhang; Zongzhang Zhang; Yang Yu 001 (CoRR, 2025)

NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios. - Songyi Gao; Zuolin Tu; Rong-Jun Qin; Yi-Hao Sun; Xiong-Hui Chen; Yang Yu 001 (CoRR, 2025)

Controlling Large Language Model with Latent Actions. - Chengxing Jia; Ziniu Li; Pengyuan Wang; Yi-Chen Li 001; Zhenyu Hou; Yuxiao Dong; Yang Yu 001 (CoRR, 2025)

Open and real-world human-AI coordination by heterogeneous training with communication. - Cong Guan; Ke Xue 001; Chunpeng Fan; Feng Chen 042; Lichao Zhang; Lei Yuan 005; Chao Qian 001; Yang Yu 001 (Frontiers Comput. Sci., 2025)

Offline model-based reinforcement learning with causal structured world models. - Zhengmao Zhu; Hong-Long Tian; Xionghui Chen; Kun Zhang 001; Yang Yu 001 (Frontiers Comput. Sci., 2025)

Multiagent Continual Coordination via Progressive Task Contextualization. - Lei Yuan 005; Lihe Li; Ziqian Zhang; Fuxiang Zhang; Cong Guan; Yang Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts. - Jing-Cheng Pang; Kaiyuan Li; Yidi Wang; Si-Hang Yang; Shengyi Jiang; Yang Yu 001 (CoRR, 2025)

Learnware of Language Models: Specialized Small Language Models Can Do Big. - Zhi-Hao Tan; Zi-Chen Zhao; Hao-Yu Shi; Xin-Yu Zhang; Peng Tan 002; Yang Yu 001; Zhi-Hua Zhou (CoRR, 2025)

Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning. - Cong Guan; Feng Chen 042; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Generalist Reward Models: Found Inside Large Language Models. - Yi-Chen Li 001; Tian Xu 003; Yang Yu 001; Xuqin Zhang; Xiong-Hui Chen; Zhongxiang Ling; Ningjing Chao; Lei Yuan 005; Zhi-Hua Zhou (CoRR, 2025)

Generalizable Multi-Modal Adversarial Imitation Learning for Non-Stationary Dynamics. - Yi-Chen Li 001; Ningjing Chao; Zongzhang Zhang; Fuxiang Zhang; Lei Yuan 005; Yang Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)