Jun Wang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 266

Top Venues

Publications

Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23 (8) (2024)
Qirui Mi, Zhiyu Zhao, Siyu Xia, Yan Song, Jun Wang, Haifeng Zhang
Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach. CoRR (2024)
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW (2024)
Muning Wen, Ziyu Wan, Weinan Zhang, Jun Wang, Ying Wen
Reinforcing Language Agents via Policy Optimization with Action Decomposition. CoRR (2024)
Yang Yang, Jianjun Wu, Tianjiao Chen, Chenghui Peng, Jun Wang, Juan Deng, Xiaofeng Tao, Guangyi Liu, Wenjing Li, Li Yang, Yufeng He, Tingting Yang, A. Hamid Aghvami, Frank Eliassen, Schahram Dustdar, Dusit Niyato, Wanfei Sun, Yang Xu, Yannan Yuan, Jiang (Linda) Xie, Rongpeng Li, Cuiqin Dai
Task-Oriented 6G Native-AI Network Architecture. IEEE Netw. 38 (1) (2024)
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR (2024)
Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning. AAMAS (2024)
Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS (2024)
Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
An Empirical Study on Google Research Football Multi-agent Scenarios. Mach. Intell. Res. 21 (3) (2024)
Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
Human-like Episodic Memory for Infinite Context LLMs. CoRR (2024)
Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
A survey on algorithms for Nash equilibria in finite normal-form games. Comput. Sci. Rev. 51 (2024)
Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. CoRR (2024)
Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate. CoRR (2024)
Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
Correlated Mean Field Imitation Learning. CoRR (2024)
Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR (2024)
Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang
RACon: Retrieval-Augmented Simulated Character Locomotion Control. CoRR (2024)
Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
Logic Synthesis with Generative Deep Neural Networks. CoRR (2024)
Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
Large Language Models Are Neurosymbolic Reasoners. AAAI (2024)
Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. AAMAS (2024)
Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu, Jun Wang
Learning State-Specific Action Masks for Reinforcement Learning. Algorithms 17 (2) (2024)
Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
Specify Robust Causal Representation from Mixed Observations. KDD (2023)
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. CoRR (2023)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM (2023)
Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun
Cross-Utterance Conditioned VAE for Speech Generation. CoRR (2023)
Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. 2023 (2023)
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML (2023)
Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR (2023)
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. ICRA (2023)
Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. CoRR (2023)
Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. ICRA (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. 17 (6) (2023)
Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
Order Matters: Agent-by-agent Policy Optimization. ICLR (2023)
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41 (4) (2023)
Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, A. Hamid Aghvami, Geoffrey Ye Li, Jiangzhou Wang, Guangyi Liu, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson, Kat-Kit Wong, Shanzhi Chen, Zhiqin Wang, Mérouane Debbah, Schahram Dustdar, Frank Eliassen, Tao Chen, Xiangyang Duan, Shaohui Sun, Xiaofeng Tao, Qinyu Zhang, Jianwei Huang, Wenjun Zhang, Jie Li, Yue Gao, Honggang Zhang, Xu Chen, Xiaohu Ge, Yong Xiao, Cheng-Xiang Wang, Zaichen Zhang, Song Ci, Guoqiang Mao, Changle Li, Ziyu Shao, Yong Zhou, Junrui Liang, Kai Li, Liantao Wu, Fanglei Sun, Kunlun Wang, Zening Liu, Kun Yang, Jun Wang, Teng Gao, Hongfeng Shu
6G Network AI Architecture for Everyone-Centric Customized Services. IEEE Netw. 37 (5) (2023)
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Henry Mguni, Jun Wang
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. CoRR (2023)
Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR (2023)
Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. ICML (2023)
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang, Yali Du
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. AAMAS (2023)
David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR (2023)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
Order Matters: Agent-by-agent Policy Optimization. CoRR (2023)
Mengyue Yang, Jun Wang, Jean-Francois Ton
Rectifying Unfairness in Recommendation Feedback Loop. SIGIR (2023)
Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
Structured Q-learning For Antibody Design. CoRR (2022)
Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. 40 (2) (2022)
Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. CoRR (2022)
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR (2022)
Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. ACL (1) (2022)
Ricky Sanjaya, Jun Wang, Yaodong Yang
Measuring the Non-Transitivity in Chess. Algorithms 15 (5) (2022)
Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR (2022)
Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. CoRR (2022)
Xu Chen, Jun Wang
Inhomogeneous deep Q-network for time sensitive applications. Artif. Intell. 312 (2022)
Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Ping Zhang, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, Sherman X. Shen, Hamid Aghvami, Geoffrey Ye Li, Jiangzhou Wang, Guangyi Liu, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson, Kai-Kit Wong, Shanzhi Chen, Zhiqin Wang, Mérouane Debbah, Schahram Dustdar, Frank Eliassen, Tao Chen, Xiangyang Duan, Shaohui Sun, Xiaofeng Tao, Qinyu Zhang, Jianwei Huang, Shuguang Cui, Wenjun Zhang, Jie Li, Yue Gao, Honggang Zhang, Xu Chen, Xiaohu Ge, Yong Xiao, Cheng-Xiang Wang, Zaichen Zhang, Song Ci, Guoqiang Mao, Changle Li, Ziyu Shao, Yong Zhou, Junrui Liang, Kai Li, Liantao Wu, Fanglei Sun, Kunlun Wang, Zening Liu, Kun Yang, Jun Wang, Teng Gao, Hongfeng Shu
6G Network AI Architecture for Everyone-Centric Customized Services. CoRR (2022)
Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR (2022)
Alexander Imani Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar
SAMBA: safe model-based & active reinforcement learning. Mach. Learn. 111 (1) (2022)
Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang
Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR (2022)
Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. CoRR (2022)
Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar
Enhancing Safe Exploration Using Safety State Augmentation. CoRR (2022)
Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
On the Convergence of Fictitious Play: A Decomposition Approach. CoRR (2022)
Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
M2N: Mesh Movement Networks for PDE Solvers. CoRR (2022)
Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang
Masked Gradient-Based Causal Structure Learning. SDM (2022)
Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
On the Convergence of Fictitious Play: A Decomposition Approach. IJCAI (2022)
Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
Fully Decentralized Model-based Policy Optimization for Networked Systems. CoRR (2022)
Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang
A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI (2022)
Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang
Online Double Oracle. Trans. Mach. Learn. Res. 2022 (2022)
Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang
Settling the Communication Complexity for Distributed Offline Reinforcement Learning. CoRR (2022)
Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang
Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS (2022)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR (2022)
Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech. CoRR (2022)
Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS (2022)
Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. NeurIPS (2022)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) (2022)
Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123 (2022)
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI (2022)
Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR (2022)
Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 74 (2022)
Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
BOiLS: Bayesian Optimisation for Logic Synthesis. DATE (2022)
Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Multiagent Q-learning with Sub-Team Coordination. NeurIPS (2022)
Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML (2022)
Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS (2022)
Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. ICLR (2022)
Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
Contextual Transformer for Offline Meta Reinforcement Learning. CoRR (2022)
Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
Scalable Model-based Policy Optimization for Decentralized Networked Systems. IROS (2022)
Yang Li, Fanglei Sun, Wenbin Song, Ying Wen, Kai Li, Jun Wang, Yang Yang
Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. ICC (2021)
Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang
Modelling Behavioural Diversity for Learning in Open-Ended Games. ICML (2021)
Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR (2021)
Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CIKM (2021)
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI (2021)
Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization. CoRR (2021)
Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess
Learning State Representations via Retracing in Reinforcement Learning. CoRR (2021)
Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang
Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR (2021)
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
An Adversarial Imitation Click Model for Information Retrieval. CoRR (2021)
Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. CoRR (2021)
Ruiqing Chen, Fanglei Sun, Liang Chen, Kai Li, Liantao Wu, Jun Wang, Yang Yang
Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. EUSIPCO (2021)
Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
Settling the Variance of Multi-Agent Policy Gradients. CoRR (2021)
Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR (2021)
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jun Wang