朱圆恒｜中国科学院大学｜学者主页

百晓学者学者目录

精选作品

期刊论文

2025

基于Transformer的状态-动作-奖赏预测表征学习

刘民颂，朱圆恒，赵冬斌

《自动化学报》

DOI

2025

基于对手池的两人格斗游戏深度强化学习

梁荣钦，朱圆恒，赵冬斌

《控制理论与应用》

2025

两团队零和博弈下熵引导的极小极大值分解强化学习方法

胡光政，朱圆恒，赵冬斌

《自动化学报》

2025

Solving Two-Team Zero-Sum Markov Game with Transformers and Value Decomposition Methods

Wenzhang Chen, Yuanheng Zhu

2025 IEEE International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)

DOI

2025

Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference

Zijie Zhao, Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning

Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao

Adaptive Agents and Multi-Agents Systems

DOI

2025

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs

Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2024

Hierarchical Multi-Robot Pursuit with Deep Reinforcement Learning and Navigation Planning

Wenzhang Chen, Yuanheng Zhu

Youth Academic Annual Conference of Chinese Association of Automation

DOI

2024

Last-Iterate Convergence to Approximate Nash Equilibria in Multiplayer Imperfect Information Games

Runyu Lu, Yuanheng Zhu, Dongbin Zhao, Yu Liu, You He

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Boosting On-Policy Actor–Critic With Shallow Updates in Critic

Luntong Li, Yuanheng Zhu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility

Haoran Li, Yaocheng Zhang, Haowei Wen, Yuanheng Zhu, Dongbin Zhao

IEEE Transactions on Artificial Intelligence

DOI

2024

Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations

Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao

IEEE Transactions on Artificial Intelligence

DOI

2024

Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination

Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu

Adaptive Agents and Multi-Agents Systems

DOI

2024

FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game

Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning

Boyu Li, Haoran Li, Yuanheng Zhu, Dongbin Zhao

IEEE Transactions on Cognitive and Developmental Systems

DOI

2023

NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning

Jiajun Chai, Yuanheng Zhu, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Policy Representation Opponent Shaping via Contrastive Learning

Yumin Chen, Yuanheng Zhu

Communications in computer and information science

DOI

2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks

Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao

DOI

2023

Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning

Weifan Li, Yuanheng Zhu, Dongbin Zhao

DOI

2023

A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat

Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zongxin Yao, Dongbin Zhao

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2022

实时格斗游戏的智能决策方法

唐振韬，梁荣钦，朱圆恒，赵冬斌

《控制理论与应用》

2022

Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning

Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu, Dongbin Zhao

IEEE Transactions on Cognitive and Developmental Systems

DOI

2022

LILAC: Learning a Leader for Cooperative Reinforcement Learning

Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao

IEEE Conference on Games (CoG)

DOI

2022

Empirical Policy Optimization for n-Player Markov Games

Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao

IEEE Transactions on Cybernetics

DOI

2021

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning

Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios

Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs

Xiong Yang, Yuanheng Zhu, Na Dong, Qinglai Wei

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Moving Target Shooting Control Policy Based on Deep Reinforcement Learning

Boyu Li, Tao Jin, Yuanheng Zhu, Haoran Li, Yingnian Wu, Dongbin Zhao

International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)

DOI

2021

Learning Representation with Q-irrelevance Abstraction for Reinforcement Learning

Shuai Hao, Luntong Li, Minsong Liu, Yuanheng Zhu, Dongbin Zhao

International Conference on Intelligent Control and Information Processing

DOI

2021

Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target

Weifan Li, Yuanheng Zhu, Dongbin Zhao

Complex & Intelligent Systems

DOI

2021

Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm

Rongqin Liang, Yuanheng Zhu, Zhentao Tang, Mu Yang, Xiaolong Zhu

IEEE Conference on Games (CoG)

DOI

2020

Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games

Yuanheng Zhu, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition

Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon Mark Lucas

IEEE Transactions on Games

DOI

2020

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward

Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao

DOI

2020

An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game

Minsong Liu, Yuanheng Zhu, Dongbin Zhao

DOI

2020

Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors

Yuanheng Zhu, Dongbin Zhao, Haibo He

IEEE Transactions on Automation Science and Engineering

DOI

2020

Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies

Yuanheng Zhu, Dongbin Zhao, Haibo He

IEEE Transactions on Vehicular Technology

DOI

2019

Vision-based control in the open racing car simulator with deep and reinforcement learning

Yuanheng Zhu, Dongbin Zhao

Journal of Ambient Intelligence and Humanized Computing

DOI

2019

LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control

Yuanheng Zhu, Haibo He, Dongbin Zhao

IEEE Transactions on Intelligent Transportation Systems

DOI

2018

A Review of Computational Intelligence for StarCraft AI

Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

2018

An Autonomous Driving Experience Platform with Learning-Based Functions

Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

2018

Learning Battles in ViZDoom via Deep Reinforcement Learning

Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu

IEEE Conference on Computational Intelligence and Games (CIG)

DOI

2018

Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems

Yuanheng Zhu, Dongbin Zhao, Xiangjun Li, Ding Wang

IEEE Transactions on Smart Grid

DOI

2018

Visual Navigation with Actor-Critic Deep Reinforcement Learning

Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang

DOI

2018

Reinforcement Learning for Build-Order Production in StarCraft II

Zhentao Tang, Dongbin Zhao, Yuanheng Zhu, Ping Guo

International Conference on Information Science and Technology

DOI

2018

Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics

Yuanheng Zhu, Dongbin Zhao, Zhiguang Zhong

IEEE Transactions on Control Systems Technology

DOI

2018

Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator

Yuanheng Zhu, Dongbin Zhao

Lecture notes in computer science

DOI

2017

深度强化学习进展:从AlphaGo到AlphaGo Zero

唐振韬，邵坤，赵冬斌，朱圆恒

《控制理论与应用》

2017

Comprehensive comparison of online ADP algorithms for continuous-time optimal control

Yuanheng Zhu, Dongbin Zhao

Artificial Intelligence Review

DOI

2017

Cooperative reinforcement learning for multiple units combat in starCraft

Kun Shao, Yuanheng Zhu, Dongbin Zhao

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

2017

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs

Qichao Zhang, Dongbin Zhao, Yuanheng Zhu

Neurocomputing

DOI

2017

Policy Iteration for $H_\infty $ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming

Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang

IEEE Transactions on Cybernetics

DOI

2016

深度强化学习综述:兼论计算机围棋的发展

赵冬斌，邵坤，朱圆恒，李栋，陈亚冉，王海涛，刘德荣，周彤，王成红

《控制理论与应用》

2016

概率近似正确的强化学习算法解决连续状态空间控制问题

朱圆恒，赵冬斌

《控制理论与应用》

会议论文

2023

Offensive and Defensive Attention Reward in Reinforcement Learning for Football Game

Yuanxun Liu, Yuanheng Zhu, Shasha Liu, Dongbin Zhao

《第35届中国控制与决策会议论文集（1）》

DOI

预印本

2026

Are Full Rollouts Necessary for On-Policy Distillation?

Yaocheng Zhang, Jiajun Chai, Yuqian Fu, Songjun Tu, Xiaohan Wang, Wei Lin, Guojun Yin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao

arXiv (Cornell University)

DOI

2026

$π$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data

Yaocheng Zhang, Yuanheng Zhu, Wenyue Chong, Songjun Tu, Qichao Zhang, Jiajun Chai, Xiaohan Wang, Wei Lin, Guojun Yin, Dongbin Zhao

arXiv (Cornell University)

DOI

2026

Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Yuqian Fu, Haohuan Huang, Kaiwen Jiang, Jiacai Liu, Zhuo Jiang, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2026

TSRL: Trigger-based Supervised Reinforcement Learning for Continual Agent Training

Yuqian Fu, Kaiwen Jiang, Zijun Song, Jiawei Wang, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2026

LocoWM: High-Precision Locomotion through World-Model-Guided Residual Adaptation

Zijie Zhao, Shengqian Chen, Xiaoxu Wang, Han Jiang, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2025

R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability

Runyu Lu, Shi, Ruochuan, Yuanheng Zhu, Dongbin Zhao

arXiv (Cornell University)

DOI

2025

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning

Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2025

Empowering Multi-Robot Cooperation via Sequential World Models

Zijie Zhao, Honglei Guo, Shengqian Chen, Kaixuan Xu, Bo Jiang, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2025

CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic

Yaocheng Zhang, Haohuan Huang, Zijun Song, Yuanheng Zhu, Qichao Zhang, Zijie Zhao, Dongbin Zhao

arXiv preprint

2025

Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games

Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi

arXiv preprint

2025

ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games

Ruochuan Shi, Runyu Lu, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2025

DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy

Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2024

CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration

Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao

arXiv preprint

2024

Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning

Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao

arXiv preprint

2024

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement

Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen

arXiv preprint

2023

Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information

Runyu Lu, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2022

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios

Jiajun Chai, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

2019

A Survey of Deep Reinforcement Learning in Video Games

Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao

arXiv preprint

2018

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

Kun Shao, Yuanheng Zhu, Dongbin Zhao

arXiv preprint

研究方向

有：机器人运动控制多具身智能 LLM智能体与强化学习后训练

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