论文
ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization.
Yongcheng Zeng, Xinyu Cui, Xuanfa Jin, Guoqing Liu, Zexu Sun, Quan He, Dong Li, Ning Yang, Jianye Hao, Haifeng Zhang, Jun Wang
arXiv PDF
Ask More, Know Better: Reinforced-learned Prompt Questions for Decision Making with Large Language Models.
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, David Mguni, Jun Wang
arXiv PDF
Mean Field Correlated Imitation Learning.
Zhiyu Zhao, Qirui Mi, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
AAMAS 2025 PDF
Efficient Reinforcement Learning with Large Language Model Priors.
Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou Ammar, Jun Wang
ICLR 2025 PDF
Enhancing efficiency and propulsion in bio-mimetic robotic fish through end-to-end deep reinforcement learning.
Xinyu Cui, Boai Sun, Yi Zhu, Ning Yang, Haifeng Zhang, Weicheng Cui, Dixia Fan, Jun Wang
Physics of Fluids 2024 PDF
Adaptive Command: Real-Time Policy Adjustment via Language Models in StarCraft II.
Weiyu Ma, Dongyu Xu, Shu Lin, Haifeng Zhang, Jun Wang
DAI 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf.
Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
NeurIPS 2024 PDF
Large language models play starcraft II: Benchmarks and a chain of summarization approach.
Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Runji Lin, Yuqiao Wu, Jun Wang, Haifeng Zhang
NeurIPS 2024 PDF
AI-Olympics: Exploring the Generalization of Agents through Open Competitions.
Chen Wang, Yan Song, Shuai Wu, Sa Wu, Ruizhi Zhang, Shu Lin, Haifeng Zhang
IJCAI 2024 PDF
Token-level Direct Preference Optimization.
Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang
ICML 2024 PDF
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
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
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
Variational Stochastic Games.
Zhiyu Zhao, Haifeng Zhang
DAI 2024
Offline Hierarchical Reinforcement Learning: Enable Large-scale Training in HRL.
Yuqiao Wu, Haifeng Zhang, Jun Wang
CCSICC 2023
Learning Robust Communication by Adversarial Training in Networked System Control.
Runji Lin, Haifeng Zhang
CCSICC 2023
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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