论文
Large Sequence Models for Sequential Decision-Making: A Survey.
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
arXiv PDF
Learning Robust Communication by Adversarial Training in Networked System Control.
Runji Lin, Haifeng Zhang
CCSICC 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future.
Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
AAMAS 2024 PDF
Offline Hierarchical Reinforcement Learning: Enable Large-scale Training in HRL.
Yuqiao Wu, Haifeng Zhang, Jun Wang
CCSICC 2023
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning.
Qirui Mi, Siyu Xia, Yan Song, Haifeng Zhang, Shenghao Zhu, Jun Wang
AAMAS 2024 PDF
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models.
Xue Yan, Yan Song, Xinyu Cui, Haifeng Zhang, Jun Wang
arXiv PDF
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination.
Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
NeurIPS 2023 PDF
A Generative Model for Game Theory with Flow Equilibrium.
Zhiyu Zhao, Renyuan Xu, Haifeng Zhang, Jun Wang, Yaodong Yang
Open Review PDF
Imitation Learning for Mean Field Games with Correlated Equilibria | Research Square.
Zhiyu Zhao, Renyuan Xu, Haifeng Zhang, Jun Wang, Yaodong Yang
Research Square PDF
An Empirical Study on Google Research Football Multi-agent Scenarios.
Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
Machine Intelligence Research 2022 PDF
Offline Multi-agent Decision Transformer.
Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
Machine Intelligence Research 2022 PDF
Contextual Transformer for Offline Meta Reinforcement Learning.
Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
NeurIPS2022 workshop PDF
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem.
Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
NeurIPS 2022 PDF
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning.
Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
NeurIPS 2022 PDF
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning.
Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
AAMAS 2022 PDF
Learning to Identify Top Elo Ratings as A Dueling Bandits Problem.
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
AAAI 2022 PDF
A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas.
Xinyi Yang, Ziyi Wang, Hengxi Zhang, Nan Ma, Ning Yang, Hualin Liu, Haifeng Zhang, Lei Yang
Algorithms 2022 PDF
A Game-theoretic Approach for Improving Generalization Ability of TSP Solvers.
Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang
arXiv 2021 PDF
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning.
Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Qing Wang, Weinan Zhang, Yong Yu
DAI 2021 PDF
Settling the Variance of Multi-Agent Policy Gradients.
Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
NeurIPS 2021 PDF
Joint caching and transmission in the mobile edge network: A multi-agent learning approach.
Qirui Mi, Ning Yang, Haifeng Zhang, Haijun Zhang, Jun Wang
Globecom 2021 PDF
Learning in Nonzero-Sum Stochastic Games with Potentials.
David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
ICML 2021 PDF
Estimating α-Rank from A Few Entries with Low Rank Matrix Completion.
Yali Du, Xue Yan, Xu Chen, Haifeng Zhang, Jun Wang
ICML 2021 PDF
Learning Correlated Communication Topology in Multi-Agent Reinforcement Learning.
Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang
AAMAS 2021 PDF
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