金博｜同济大学｜学者主页

2025

Multi-Agent Credit Assignment with Pretrained Language Models

Wen-Hao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hong-Yuan Zha

International Conference on Artificial Intelligence and Statistics

2025

Reward Translation via Reward Machine in Semi-Alignable MDPs

Yun Hua, Hao-Sheng Chen, Wen-Hao Li, Bo Jin, Baoxiang Wang, Hong-Yuan Zha, Xiangfeng Wang

International Conference on Machine Learning

2025

SkyRover: A Modular Simulator for Cross-Domain Pathfinding

Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lü, Xiangfeng Wang

International Joint Conference on Artificial Intelligence

DOI

2025

Differentiable Adaptive Kalman Filtering via Optimal Transport

Yangguang He, Wenhao Li, Min-Zhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin

arXiv.org

DOI

2025

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

Wenhao Li, Bo Jin, Mingyi Hong, Changhong Lu, Xiangfeng Wang

arXiv.org

DOI

2025

A Survey of Automatic Prompt Engineering: An Optimization Perspective

Wen-Wu Li, Xiangfeng Wang, Wenhao Li, Bo Jin

arXiv.org

DOI

2025

Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning

Hao-Sheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang

Adaptive Agents and Multi-Agent Systems

DOI

2025

GraphThought: Graph Combinatorial Optimization with Thought Generation

ZiXiao Huang, Li-Feng Guo, Wenhao Li, Junjie Sheng, Chuyun Shen, Hao-Sheng Chen, Bo Jin, Changhong Lu, Xiangfeng Wang

arXiv.org

DOI

2025

Verbalized Bayesian Persuasion

Wenhao Li, Yue Lin, Xiangfeng Wang, Bo Jin, Hong-Yuan Zha, Baoxiang Wang

arXiv.org

DOI

2025

TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model

Yangguang He, Wenhao Li, Min-Zhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin

arXiv.org

DOI

2025

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization

Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha B, Jun Wang, Xiangfeng Wang

Adaptive Agents and Multi-Agents Systems

DOI

2024

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review

Di Jia Wu, Xian Hua Wei, Guang Chen, Hao Shen, Bo Jin

DOI

2024

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning

Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

面向城市交通信号优化的多智能体强化学习综述

华贇，王祥丰，金博

《运筹学学报(中英文)》

2023

LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas

Yun Hua, Shang Gao, Wenhao Li, Hao-Sheng Chen, Bo Jin, Xiangfeng Wang, Jun Luo, Hong Zha

Neural Information Processing Systems

DOI

2023

Hierarchical Diffusion for Offline Decision Making

Wenhao Li, Xiangfeng Wang, Bo Jin, H. Zha

International Conference on Machine Learning

2023

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

Wenhao Li, Dan Qiao, Bao-Xiang Wang, Xiangfeng Wang, Bo Jin, H. Zha

arXiv.org

DOI

2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

Junjie Sheng, ZiXiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hong-Yuan Zha, Xiangfeng Wang

arXiv.org

DOI

2023

Learning Roles With Emergent Social Value Orientations

Wenhao Li, Xiangfeng Wang, Bo Jin, Jing-Yi Lu, H. Zha

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

Learning Structured Communication for Multi-Agent Reinforcement Learning

Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung‐Hui Chang, Hongyuan Zha B

Adaptive Agents and Multi-Agents Systems

DOI

2023

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas

Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha B

Adaptive Agents and Multi-Agents Systems

DOI

2022

Multi-Agent Path Finding with Prioritized Communication Learning

Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hong Zha, Xiangfeng Wang

IEEE International Conference on Robotics and Automation

DOI

2022

VMAgent: A Practical Virtual Machine Scheduling Platform

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, H. Zha, Xiangfeng Wang

International Joint Conference on Artificial Intelligence

DOI

2022

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition

Tingyi Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang

International Conference on Database Systems for Advanced Applications

DOI

2022

Sequential Viewpoint Selection and Grasping with Partial Observability Reinforcement Learning

Wei-Wen Chen, Yun Hua, Bo Jin, Jun Zhu, Quanbo Ge, Xiangfeng Wang

Youth Academic Annual Conference of Chinese Association of Automation

DOI

2022

Obtaining Dyadic Fairness by Optimal Transport

Mo-Yi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, H. Zha

2022 IEEE International Conference on Big Data (Big Data)

DOI

2022

Learning to schedule multi-NUMA virtual machines via reinforcement learning

Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang

Pattern Recognition

DOI

2022

ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests

Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang

2022 IEEE International Conference on Big Data (Big Data)

DOI

2022

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Junjie Sheng, Lu Wang, Fan Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, S. Rajmohan, Qingwei Lin, Dong-Mei Zhang

The Web Conference

DOI

2021

基于多智能体强化学习的大规模无人机集群对抗

王泊涵，吴婷钰，李文浩，黄达，金博，杨峰，周爱民，王祥丰

《系统仿真学报》

DOI

2021

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, H. Zha

International Conference on Learning Representations

2021

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space

Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, H. Zha

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, H. Zha

Adaptive Agents and Multi-Agent Systems

DOI

2021

VMAgent: Scheduling Simulator for Reinforcement Learning

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hong Zha, Xiangfeng Wang

arXiv.org

2020

Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning

Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiao-Yun Zhang, Yan-Feng Wang, Ya Zhang

IEEE Transactions on Medical Imaging

DOI

2020

Learning structured communication for multi-agent reinforcement learning

Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, H. Zha

Autonomous Agents and Multi-Agent Systems

DOI

2020

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiao-Feng He, H. Zha

Knowledge Discovery and Data Mining

DOI

2020

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, H. Zha

Journal of machine learning research

2019

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning

X. Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiao-Yun Zhang, Yan-Feng Wang, Ya Zhang

Computer Vision and Pattern Recognition

DOI

2019

SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning

Wenhao Li, Bo Jin, Xiangfeng Wang

DASFAA Workshops

DOI

精选作品

期刊论文

Multi-Agent Credit Assignment with Pretrained Language Models

Reward Translation via Reward Machine in Semi-Alignable MDPs

SkyRover: A Modular Simulator for Cross-Domain Pathfinding

Differentiable Adaptive Kalman Filtering via Optimal Transport

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

A Survey of Automatic Prompt Engineering: An Optimization Perspective

Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning

GraphThought: Graph Combinatorial Optimization with Thought Generation

Verbalized Bayesian Persuasion

TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning

面向城市交通信号优化的多智能体强化学习综述

LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas

Hierarchical Diffusion for Offline Decision Making

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

Learning Roles With Emergent Social Value Orientations

Learning Structured Communication for Multi-Agent Reinforcement Learning

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas

Multi-Agent Path Finding with Prioritized Communication Learning

VMAgent: A Practical Virtual Machine Scheduling Platform

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition

Sequential Viewpoint Selection and Grasping with Partial Observability Reinforcement Learning

Obtaining Dyadic Fairness by Optimal Transport

Learning to schedule multi-NUMA virtual machines via reinforcement learning

ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

基于多智能体强化学习的大规模无人机集群对抗

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning

VMAgent: Scheduling Simulator for Reinforcement Learning

Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning

Learning structured communication for multi-agent reinforcement learning

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning

SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning

预印本

Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents

SOC-Optimizer: A Parameter-Free Swarm Intelligence Algorithm Inspired by Self-Organized Criticality

Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization

Reinforced Reasoning for Embodied Planning

研究方向