Yang Yu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 203

Top Venues

Publications

Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR (2024)
Ming Yang, Yiming Wang, Yang Yu, Mingliang Zhou, Leong Hou U
MixLight: Mixed-Agent Cooperative Reinforcement Learning for Traffic Light Control. IEEE Trans. Ind. Informatics 20 (2) (2024)
Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. CoRR (2024)
Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu
Model gradient: unified model and policy learning in model-based reinforcement learning. Frontiers Comput. Sci. 18 (4) (2024)
Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. AAAI (2024)
Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. AAAI (2024)
Fan-Ming Luo, Zuolin Tu, Zefang Huang, Yang Yu
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate. CoRR (2024)
Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. CoRR (2024)
Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. CoRR (2024)
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. CoRR (2024)
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. AAAI (2024)
Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. CoRR (2024)
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. ACM Trans. Inf. Syst. 42 (4) (2024)
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou
Beimingwu: A Learnware Dock System. CoRR (2024)
Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation. ICLR (2024)
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. ICLR (2024)
Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR (2024)
Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. AAAI (2024)
Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Deep Anomaly Detection via Active Anomaly Search. AAMAS (2024)
Ruo-Ze Liu, Yanjie Shen, Yang Yu, Tong Lu
Revisiting of AlphaStar. IEEE Trans. Games 16 (2) (2024)
Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu, Yang Yu
Foresight Distribution Adjustment for Off-policy Reinforcement Learning. AAMAS (2024)
Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang Yu
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation. CoRR (2024)
Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS (2024)
Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
A survey on model-based reinforcement learning. Sci. China Inf. Sci. 67 (2) (2024)
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu
Empowering Language Models with Active Inquiry for Deeper Understanding. CoRR (2024)
Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu
Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation. AAMAS (2024)
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Language Model Self-improvement by Reinforcement Learning Contemplation. ICLR (2024)
Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. CoRR (2024)
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou
Beimingwu: A Learnware Dock System. KDD (2024)
Ziniu Li, Tian Xu, Yang Yu
When is RL better than DPO in RLHF? A Representation and Optimization Perspective. Tiny Papers @ ICLR (2024)
Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR (2023)
Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, Zhenhua Li, Ming Gu
Memory-efficient Transformer-based network model for Traveling Salesman Problem. Neural Networks 161 (2023)
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. ICML (2023)
Jing-Cheng Pang, Xin-Yu Yang, Si-Hang Yang, Yang Yu
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation. CoRR (2023)
Yuren Liu, Biwei Huang, Zhengmao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
Learning World Models with Identifiable Factorization. NeurIPS (2023)
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. CoRR (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE (2023)
Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment. CoRR (2023)
Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
Self-Motivated Multi-Agent Exploration. CoRR (2023)
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. CoRR (2023)
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. CoRR (2023)
Renzhe Zhou, Zongzhang Zhang, Yang Yu
Model-Based Offline Weighted Policy Optimization (Student Abstract). AAAI (2023)
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
Fast Teammate Adaptation in the Presence of Sudden Policy Change. CoRR (2023)
Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. NeurIPS (2023)
Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Fangsheng Huang
Adversarial Counterfactual Environment Model Learning. NeurIPS (2023)
Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. CoRR (2023)
Weijian Liao, Zongzhang Zhang, Yang Yu
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. AAAI (2023)
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
Fast Teammate Adaptation in the Presence of Sudden Policy Change. UAI (2023)
Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
Provably Efficient Adversarial Imitation Learning with Unknown Transitions. UAI (2023)
Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
Provably Efficient Adversarial Imitation Learning with Unknown Transitions. CoRR (2023)
Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. ICLR (2023)
Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo
Theoretical Analysis of Offline Imitation With Supplementary Dataset. CoRR (2023)
Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. AAAI (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR (2023)
Yu-Ren Liu, Biwei Huang, Zheng-Mao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
Learning World Models with Identifiable Factorization. CoRR (2023)
Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan
Self-Motivated Multi-Agent Exploration. AAMAS (2023)
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. AAAI (2023)
Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning. CoRR (2023)
Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Xiong-Hui Chen, Yang Yu
Natural Language Instruction-following with Task-related Language Development and Translation. NeurIPS (2023)
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Language Model Self-improvement by Reinforcement Learning Contemplation. CoRR (2023)
Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu
Degradation-Resistant Offline Optimization via Accumulative Risk Control. ECAI (2023)
Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). AAAI (2023)
Hang Zhao, Zherong Pan, Yang Yu, Kai Xu
Learning Physically Realizable Skills for Online Packing of General 3D Shapes. ACM Trans. Graph. 42 (5) (2023)
Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu
Multi-agent Continual Coordination via Progressive Task Contextualization. CoRR (2023)
Zheng-Mao Zhu, Yu-Ren Liu, Hong-Long Tian, Yang Yu, Kun Zhang
Beware of Instantaneous Dependence in Reinforcement Learning. CoRR (2023)
Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu
Robust Multi-agent Communication via Multi-view Message Certification. CoRR (2023)
Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation. CoRR (2023)
Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. CoRR (2023)
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. CoRR (2023)
Han Wang, Yang Yu, Yuan Jiang
Fully Decentralized Multiagent Communication via Causal Inference. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). AAAI (2023)
Cong Guan, Lichao Zhang, Chunpeng Fan, Yichen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu
Efficient Human-AI Coordination via Preparatory Language-based Convention. CoRR (2023)
Jing-Cheng Pang, Si-Hang Yang, Xiong-Hui Chen, Xinyu Yang, Yang Yu, Mas Ma, Ziqi Guo, Howard Yang, Bill Huang
Object-Oriented Option Framework for Robotics Manipulation in Clutter. IROS (2023)
Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
Learning to Coordinate with Anyone. DAI (2023)
Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou
Learning to Coordinate with Anyone. CoRR (2023)
Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). AAAI (2023)
Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. AAMAS (2023)
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. CoRR (2022)
Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu
Efficient Multi-Agent Communication via Shapley Message Value. IJCAI (2022)
Tian Xu, Ziniu Li, Yang Yu
Error Bounds of Imitating Policies and Environments for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. NeurIPS (2022)
Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu
Multi-Agent Policy Transfer via Task Relationship Modeling. CoRR (2022)
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
Context-Aware Sparse Deep Coordination Graphs. ICLR (2022)
Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis. CoRR (2022)
Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu
The Teaching Dimension of Regularized Kernel Learners. ICML (2022)
Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu
Efficient Multi-agent Communication via Self-supervised Information Aggregation. NeurIPS (2022)
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. CoRR (2022)
Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zhen-Jia Pang, Zitai Xiao, Yuzhou Wu, Tong Lu
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning. IEEE Trans. Games 14 (2) (2022)
Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. AAAI (2022)
Ruo-Ze Liu, Zhen-Jia Pang, Zhou-Yu Meng, Wenhai Wang, Yang Yu, Tong Lu
On Efficient Reinforcement Learning for Full-length Game of StarCraft II. CoRR (2022)
Rongjun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. NeurIPS (2022)
Hang Zhao, Yang Yu, Kai Xu
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees. ICLR (2022)
Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu
Deep Anomaly Detection and Search via Reinforcement Learning. CoRR (2022)
Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games. CoRR (2022)
Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. CoRR (2022)
Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang
Multi-Agent Incentive Communication via Decentralized Teammate Modeling. AAAI (2022)
Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang
Active Hierarchical Exploration with Stable Subgoal Representation Learning. ICLR (2022)
Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang
Invariant Action Effect Model for Reinforcement Learning. AAAI (2022)
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Multi-agent Dynamic Algorithm Configuration. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yang Yu