百晓学者学者目录

赵冬斌

博导、教授,中国科学院大学

精选作品

期刊论文

2026

面向具身操作的视觉-语言-动作模型综述

李浩然,陈宇辉,崔文博,刘卫恒,刘锴,周明才,张正涛,赵冬斌

《自动化学报》

2026

World4RL: Diffusion World Models for Policy Refinement With Reinforcement Learning for Robotic Manipulation

Ziyuan Jiang, Kai Liu, Yuxin Qin, Shuai Tian, Yupeng Zheng, Mingcai Zhou, Zhengtao Zhang, Chao Yu, Haoran Li, Dongbin Zhao

IEEE Robotics and Automation Letters

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》

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

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning

Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Kexin Chen, Dongbin Zhao

Proceedings of the AAAI Conference on Artificial Intelligence

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

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)

2025

LLM-AC: Large Language Models Enhanced Actor-Critic for Recommendation Systems

Zhiyuan Zhang, Caixin Guo, Qichao Zhang, Xiaoxu Wu, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao

Communications in computer and information science

2025

Fast and Accurate Visuomotor Imitation Learning via 2D Consistency Flow Matching Policy

Shuai Tian, Haoran Li, Dongbin Zhao

Communications in computer and information science

2025

Learning future representation with synthetic observations for sample-efficient reinforcement learning

Xin Liu, Yaran Chen, Haoran Li, Dongbin Zhao

Science China Information Sciences

2025

Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning

Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao

Adaptive Agents and Multi-Agents Systems

2025

Consistency Policy with Categorical Critic for Autonomous Driving

Xing Fang, Qichao Zhang, Haoran Li, Dongbin Zhao

Adaptive Agents and Multi-Agents Systems

2025

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model

Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao

Adaptive Agents and Multi-Agents Systems

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

2024

游戏人工智能方法

赵冬斌

《科学出版社》

2024

Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving

Ding Li, Qi-Chao Zhang, Zhong-Pu Xia, Yu-Peng Zheng, Kuan Zhang, Meng-Long Yi, Wenda Jin, Dongbin Zhao

IEEE Transactions on Intelligent Vehicles

2024

Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning

Jun‐Jie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao

IEEE Transactions on Industrial Informatics

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

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

2024

Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations

Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao

IEEE Transactions on Artificial Intelligence

2024

Dream to Drive With Predictive Individual World Model

Yinfeng Gao, Qichao Zhang, Da‐Wei Ding, Dongbin Zhao

IEEE Transactions on Intelligent Vehicles

2024

User Response Modeling in Reinforcement Learning for Ads Allocation

Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao

ACM Web Conference (WWW)

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

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

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

2024

Boosting Continuous Control with Consistency Policy

Yuhui Chen, Haoran Li, Dongbin Zhao

Adaptive Agents and Multi-Agents Systems

2023

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

Jiajun Chai, Yuan-Heng Zhu, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

2023

Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning

Minsong Liu, Luntong Li, Shuai Hao, Yuan-Heng Zhu, Dongbin Zhao

IEEE Transactions on Cognitive and Developmental Systems

2023

A New Deep Reinforcement Learning Based Robot Path Planning Algorithm without Target Network

Yanan Cao, Dongbin Zhao, Xiang Cao

International Service Availability Symposium

2023

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

Guangzhen Hu, Haoran Li, Sha-Sha Liu, Mingjun Ma, Yuan-Heng Zhu, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2023

Adaptive Approximation-Based Control for Nonlinear Systems: A Unified Solution with Accurate and Inaccurate Measurements

Dongbin Zhao

arXiv.org

2023

Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning

Wei-Fan Li, Yuan-Heng Zhu, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2023

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

Runyu Lu, Yuan-Heng Zhu, Dongbin Zhao

arXiv.org

2023

Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles

Li Ding, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

2023

Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems

Yong Zhang, Chaoxu Mu, Dongbin Zhao

IEEE Transactions on Emerging Topics in Computational Intelligence

2023

Comparison of Different Domain Randomization Methods for Policy Transfer in Reinforcement Learning

Mingjun Ma, Haoran Li, Guangzheng Hu, Shasha Liu, Dongbin Zhao

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

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

Dynamic-Horizon Model-Based Value Estimation With Latent Imagination

Junjie Wang, Qi-Chao Zhang, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

2022

SIM: A Scenario IMagination Based Deep Reinforcement Learning Method for Outdoor Transportation Environment Exploration

Hao-Ran Li, Qi-Chao Zhang, Yaran Chen, Dongbin Zhao

2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)

2022

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic

Yu-Qi Liu, Yin-Feng Gao, Qi-Chao Zhang, Da-Wei Ding, Dongbin Zhao

Journal of the Franklin Institute

2022

Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data

Xing Fang, Qi-Chao Zhang, Yin-Feng Gao, Dongbin Zhao

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

2022

Deep Reinforcement Learning for Perception and Control of Autonomous Vehicles

Dongbin Zhao

Journal of Physics, Conference Series

2022

GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory

Ding Li, Qi-Chao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao

International Conference on Data Mining and Big Data

2022

Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning

Junjie Wang, Qi-Chao Zhang, Dongbin Zhao

IEEE CAA J. Autom. Sinica

2022

Neurons Perception Dataset for RoboMaster AI Challenge

Hao-Ran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2022

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

Jiajun Chai, Yuan-Heng Zhu, Dongbin Zhao

arXiv.org

2022

LILAC: Learning a Leader for Cooperative Reinforcement Learning

Yuqian Fu, Jiajun Chai, Yuan-Heng Zhu, Dongbin Zhao

2022 IEEE Conference on Games (CoG)

2022

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

Jiajun Chai, Wenzhang Chen, Yuan-Heng Zhu, Zonggui Yao, Dongbin Zhao

IEEE Transactions on Systems, Man & Cybernetics. Systems

2022

TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving

Qi-Chao Zhang, Yin-Feng Gao, Yikang Zhang, Youtian Guo, Da-Wei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao

IEEE transactions on intelligent transportation systems (Print)

2021

Empirical Policy Optimization for n-Player Markov Games

Yuan-Heng Zhu, Wei-Fan Li, Mengchen Zhao, Jian-Ye Hao, Dongbin Zhao

IEEE Transactions on Cybernetics

2021

Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning

Junjie Wang, Qi-Chao Zhang, Dongbin Zhao

International Conference on Robotics and Artificial Intelligence

2021

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

Guangzhen Hu, Yuan-Heng Zhu, Dongbin Zhao, Mengchen Zhao, Jian-Ye Hao

IEEE Transactions on Neural Networks and Learning Systems

2021

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios

Jiajun Chai, Wei-Fan Li, Yuan-Heng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding

IEEE Transactions on Neural Networks and Learning Systems

2021

A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios

Yu-Qi Liu, Qi-Chao Zhang, Dongbin Zhao

IEEE Symposium Series on Computational Intelligence

2021

Moving Target Shooting Control Policy Based on Deep Reinforcement Learning

Boyu Li, Tao Jin, Yuan-Heng Zhu, Haoran Li, Yingnian Wu, Dongbin Zhao

International Conference on Informative and Cybernetics for Computational Social Systems

2021

Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He

IEEE Transactions on Automation Science and Engineering

2021

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

Wei-Fan Li, Yuan-Heng Zhu, Dongbin Zhao

Complex & Intelligent Systems

2021

MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation

Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li

Neurocomputing

2021

Learning Representation with Q-irrelevance Abstraction for Reinforcement Learning

Shuai Hao, Luntong Li, Minsong Liu, Yuan-Heng Zhu, Dongbin Zhao

International Conference on Intelligent Control and Information Processing

2020

Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment

Hao-Ran Li, Qi-Chao Zhang, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

2020

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

Yuan-Heng Zhu, Dongbin Zhao

IEEE Transactions on Neural Networks and Learning Systems

2020

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

Minsong Liu, Yuan-Heng Zhu, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2020

Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game

Chaoxu Mu, Ke Wang, Qi-Chao Zhang, Dongbin Zhao

Information Sciences

2020

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward

Kun Shao, Yuan-Heng Zhu, Zhentao Tang, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2020

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

Yuan-Heng Zhu, Hai-Bo He, Dongbin Zhao

IEEE transactions on intelligent transportation systems (Print)

2020

Advances in deep neural information processing

Dongbin Zhao, Shukai Duan, Zheng Yan, C. Alippi

Neurocomputing

2020

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

Zhentao Tang, Yuan-Heng Zhu, Dongbin Zhao, S. Lucas

IEEE Transactions on Games

2020

Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization

Jiasen Wang, Jun Wang, Dongbin Zhao

International Symposium on Neural Networks

2020

Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He

IEEE Transactions on Vehicular Technology

2020

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning

Junjie Wang, Qi-Chao Zhang, Dongbin Zhao, Mengchen Zhao, Jian-Ye Hao

arXiv.org

2020

Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He

IEEE Transactions on Systems, Man & Cybernetics. Systems

2019

Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics

Qi-Chao Zhang, Dongbin Zhao

IEEE Transactions on Cybernetics

2019

Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games

Wei-Fan Li, Yuanheng Zhuand, Dongbin Zhao

IEEE Symposium Series on Computational Intelligence

2019

Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling

Dong Li, Dongbin Zhao, Qi-Chao Zhang

IEEE Symposium Series on Computational Intelligence

2019

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints

Junjie Wang, Qi-Chao Zhang, Dongbin Zhao, Yaran Chen

IEEE International Joint Conference on Neural Network

2019

Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming

Yuan-Heng Zhu, Hai-Bo He, Dongbin Zhao, Zhong-Sheng Hou

IEEE International Joint Conference on Neural Network

2019

Deep Reinforcement Learning and Games [Guest Editorial]

Dongbin Zhao, S. Lucas, J. Togelius

IEEE Computational Intelligence Magazine

2019

Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics

Yuan-Heng Zhu, Dongbin Zhao, Zhiguang Zhong

IEEE Transactions on Control Systems Technology

2019

Graph Attention Memory for Visual Navigation

Dong Li, Qi-Chao Zhang, Dongbin Zhao, Yu-Zheng Zhuang, Bin Wang, Wu-Long Liu, Rasul Tutunov, Jun Wang

2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)

2019

A Survey of Deep Reinforcement Learning in Video Games

Kun Shao, Zhentao Tang, Yuan-Heng Zhu, Nannan Li, Dongbin Zhao

arXiv.org

2019

Model-Free Reinforcement Learning based Lateral Control for Lane Keeping

Qi-Chao Zhang, Rui Luo, Dongbin Zhao, C. Luo, D. Qian

IEEE International Joint Conference on Neural Network

2019

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

Yuan-Heng Zhu, Dongbin Zhao

Journal of Ambient Intelligence and Humanized Computing

2019

Comparison of Control Methods Based on Imitation Learning for Autonomous Driving

Yin-Feng Gao, Yu-Qi Liu, Qi-Chao Zhang, Yu Wang, Dongbin Zhao, Dawei Ding, Zhong-Hua Pang, Yue-Ming Zhang

International Conference on Intelligent Control and Information Processing

2018

Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming

Qi-Chao Zhang, Dongbin Zhao, Ding Wang

IEEE Transactions on Neural Networks and Learning Systems

2018

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

Yuan-Heng Zhu, Dongbin Zhao, Xiong Yang, Qi-Chao Zhang

IEEE Transactions on Cybernetics

2018

An Autonomous Driving Experience Platform with Learning-Based Functions

Dong Li, Dongbin Zhao, Qi-Chao Zhang, Yuan-Heng Zhu

IEEE Symposium Series on Computational Intelligence

2018

StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning

Kun Shao, Yuan-Heng Zhu, Dongbin Zhao

IEEE Transactions on Emerging Topics in Computational Intelligence

2018

Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming

Dongbin Zhao, De-Rong Liu, F. Lewis, J. Príncipe, S. Squartini

IEEE transactions on multimedia

2018

Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems

Qi-Chao Zhang, Dongbin Zhao

International Conference on Neural Information Processing

2018

Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games

Qi-Chao Zhang, Dongbin Zhao, F. Lewis

IEEE International Joint Conference on Neural Network

2018

Control InterfaceGame Engine Sensors Communication Protocol Data Signal Control Signal Perception / Control Algorithm State Command Camera Range / Velocity Meter Vehicle Model One-step Simulation Engine Settings

Dong Li, Dongbin Zhao, Qi-Chao Zhang, Yaran Chen

2018

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving

Dong Li, Dongbin Zhao, Qi-Chao Zhang, Yaran Chen

IEEE Computational Intelligence Magazine

2018

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

Yuan-Heng Zhu, Dongbin Zhao

International Conference on Neural Information Processing

2018

Adaptive cruise control via adaptive dynamic programming with experience replay

Bin Wang, Dongbin Zhao, Jin Cheng

Soft Computing - A Fusion of Foundations, Methodologies and Applications

2018

Visual Navigation with Actor-Critic Deep Reinforcement Learning

Kun Shao, Dongbin Zhao, Yuan-Heng Zhu, Qi-Chao Zhang

IEEE International Joint Conference on Neural Network

2018

A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents

Zhen Zhang, Dongqing Wang, Dongbin Zhao, Qiao-Ni Han, Tingting Song

IEEE Access

2018

A Review of Computational Intelligence for StarCraft AI

Zhentao Tang, Kun Shao, Yuan-Heng Zhu, Dong Li, Dongbin Zhao, Ting-Wen Huang

IEEE Symposium Series on Computational Intelligence

2018

Learning Battles in ViZDoom via Deep Reinforcement Learning

Kun Shao, Dongbin Zhao, Nannan Li, Yuan-Heng Zhu

IEEE Conference on Computational Intelligence and Games

2018

Reinforcement Learning for Build-Order Production in StarCraft II

Zhentao Tang, Dongbin Zhao, Yuan-Heng Zhu, Ping Guo

International Conference on Information and Software Technologies

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

FMRQ—A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks

Zhen Zhang, Dongbin Zhao, Junwei Gao, Dongqing Wang, Yujie Dai

IEEE Transactions on Cybernetics

2017

Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data

Yuan-Heng Zhu, Dongbin Zhao, Xiangjun Li

IEEE Transactions on Neural Networks and Learning Systems

2017

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

Yuan-Heng Zhu, Dongbin Zhao

Artificial Intelligence Review

2017

Policy gradient methods with Gaussian process modelling acceleration

Dong Li, Dongbin Zhao, Qi-Chao Zhang, C. Luo

IEEE International Joint Conference on Neural Network

2017

FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent

Zhen Zhang, Dongqing Wang, Dongbin Zhao, Tingting Song

International Conference on Neural Information Processing

2017

Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control

Yong-Duan Song, F. Lewis, M. Polycarpou, D. Prokhorov, Dongbin Zhao

IEEE Trans. Neural Networks Learn. Syst.

2017

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

Qi-Chao Zhang, Dongbin Zhao, Yuan-Heng Zhu

Neurocomputing

2017

Data-driven adaptive dynamic programming for two-player nonzero-sum game

Qi-Chao Zhang, Dongbin Zhao, Yafei Zhou

Chinese Control and Decision Conference

2017

Event-triggered integral reinforcement learning for nonlinear continuous-time systems

Qi-Chao Zhang, Dongbin Zhao

IEEE Symposium Series on Computational Intelligence

2017

Cooperative reinforcement learning for multiple units combat in starCraft

Kun Shao, Yuan-Heng Zhu, Dongbin Zhao

IEEE Symposium Series on Computational Intelligence

2017

Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games

Qi-Chao Zhang, Dongbin Zhao, Sibo Zhang

International Conference on Neural Information Processing

2017

Event-Triggered $H_\infty $ Control for Continuous-Time Nonlinear System via Concurrent Learning

Qi-Chao Zhang, Dongbin Zhao, Yuan-Heng Zhu

IEEE Transactions on Systems, Man & Cybernetics. Systems

2017

Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]

Dongbin Zhao, Zhong-Pu Xia, Qi-Chao Zhang

IEEE Computational Intelligence Magazine

2017

Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He, Junhong Ji

IEEE transactions on industrial electronics (1982. Print)

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》

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

Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics

Dongbin Zhao, Qi-Chao Zhang, Ding Wang, Yuan-Heng Zhu

IEEE Transactions on Cybernetics

2016

Fuzzy-Based Goal Representation Adaptive Dynamic Programming

Yufei Tang, Hai-Bo He, Z. Ni, Xiangnan Zhong, Dongbin Zhao, Xin Xu

IEEE transactions on fuzzy systems

2016

Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics

Yuan-Heng Zhu, Dongbin Zhao, Xiangjun Li

2016

Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems

Qi-Chao Zhang, Dongbin Zhao, Ding Wang

International Conference on Cognitive Systems and Signal Processing

2016

Review of deep reinforcement learning and discussions on the development of computer Go

Dongbin Zhao, Kun Shao, Yuan-Heng Zhu, Dong Li, Yawen Chen, Hai-Tao Wang, D. Liu, Tong Zhou, C. Wang

2016

Convolutional fitted Q iteration for vision-based control problems

Dongbin Zhao, Yuan-Heng Zhu, Le Lv, Yaran Chen, Qi-Chao Zhang

IEEE International Joint Conference on Neural Network

2016

Online reinforcement learning control by Bayesian inference

Zhong-Pu Xia, Dongbin Zhao

2016

Deep reinforcement learning with experience replay based on SARSA

Dongbin Zhao, Hai-Tao Wang, Kun Shao, Yuan-Heng Zhu

IEEE Symposium Series on Computational Intelligence

2016

Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics

Ding Wang, De-Rong Liu, Qi-Chao Zhang, Dongbin Zhao

IEEE Transactions on Systems, Man & Cybernetics. Systems

2016

Move prediction in Gomoku using deep learning

Kun Shao, Dongbin Zhao, Zhentao Tang, Yuan-Heng Zhu

Youth Academic Annual Conference of Chinese Association of Automation

2016

ADP with MCTS algorithm for Gomoku

Zhentao Tang, Dongbin Zhao, Kun Shao, Le Lv

IEEE Symposium Series on Computational Intelligence

2016

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations

Qi-Chao Zhang, Dongbin Zhao, Yuan-Heng Zhu, X. Chen

IEEE International Joint Conference on Neural Network

2016

A general adaptive dynamic programming approach with experience replay

Bin Wang, Dongbin Zhao, Jin Cheng, Yuan Xu, Yueyang Li

IEEE International Joint Conference on Neural Network

2015

Online Synchronous Policy Iteration based on Concurrent Learning to solve continuous-time optimal control problem

Hai-Tao Wang, Dongbin Zhao, Chengdong Li

International Conference on Information and Software Technologies

2015

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming

Zhen Ni, Hai-Bo He, Dongbin Zhao, Xin Xu, D. Prokhorov

IEEE Transactions on Neural Networks and Learning Systems

2015

MEC—A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems

Dongbin Zhao, Yuan-Heng Zhu

IEEE Transactions on Neural Networks and Learning Systems

2015

Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He, Junhong Ji

Cognitive Computation

2015

Machine Learning with Applications to Autonomous Systems

Xin Xu, Hai-Bo He, Dongbin Zhao, Shiliang Sun, L. Buşoniu, Simon X. Yang

2015

Computational Intelligence for Changing Environments [Guest Editorial]

A. Hussain, D. Tao, Q. M. Jonathan Wu, Dongbin Zhao

IEEE Computational Intelligence Magazine

2015

Design and implementation of an adaptive cruise control system based on supervised actor-critic learning

Bin Wang, Dongbin Zhao, Chengdong Li, Yujie Dai

International Conference on Information and Software Technologies

2015

Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings

Dongbin Zhao, Qi-Chao Zhang, Xiangjun Li, Lingda Kong

International Symposium on Neural Networks

2015

Model-free adaptive algorithm for optimal control of continuous-time nonlinear system

Yuan-Heng Zhu, Dongbin Zhao

ACM Cloud and Autonomic Computing Conference

2015

Proceedings of the 12th International Symposium on Advances in Neural Networks --- ISNN 2015 - Volume 9377

Xiao-Lin Hu, Youshen Xia, Yu-Nong Zhang, Dongbin Zhao

2015

Online reinforcement learning by Bayesian inference

Zhong-Pu Xia, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2015

Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems

Yuan-Heng Zhu, Dongbin Zhao, De-Rong Liu

Neurocomputing

2015

Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis

Dongbin Zhao, Zhong-Pu Xia, Ding Wang

IEEE Transactions on Automation Science and Engineering

2015

Event-Triggered H ∞ Control for Continuous-Time Nonlinear System

Dongbin Zhao, Qi-Chao Zhang, Xiangjun Li, Lingda Kong

International Symposium on Neural Networks

2015

Consensus of heterogeneous multi-agent systems with switching topologies using input-output feedback linearization

Qi-Chao Zhang, Dongbin Zhao, Qing-Lai Wei, Chengdong Li

Cybersecurity and Cyberforensics Conference

2015

Solving Nonlinear Zero-Sum Game with Completely Unknown Dynamics via Iterative Adaptive Dynamic Programming

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He

2014

Frontiers of Intelligent Control and Information Processing

De-Rong Liu, C. Alippi, Dongbin Zhao, Huaguang Zhang

2014

Model-free Adaptive Dynamic Programming for Optimal Control of Discrete-time Affine Nonlinear System

Zhong-Pu Xia, Dongbin Zhao, Hua-Jin Tang

2014

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system

Xiangnan Zhong, Zhen Ni, Hai-Bo He, Xin Xu, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2014

Full-range adaptive cruise control based on supervised adaptive dynamic programming

Dongbin Zhao, Zhaohui Hu, Zhong-Pu Xia, C. Alippi, Yuan-Heng Zhu, Ding Wang

Neurocomputing

2014

Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay

Bin Wang, Dongbin Zhao, C. Alippi, De-Rong Liu

Neurocomputing

2014

Clique-based cooperative multiagent reinforcement learning using factor graphs

Zhen Zhang, Dongbin Zhao

IEEE/CAA Journal of Automatica Sinica

2014

IEEE SSCI 2014 General Committee

H. Chairs, M. Polycarpou, C. Alippi, G. Fogel, Gary G. Yen, Nian Zhang, Z. Hou, H. Ishibuchi, K. Tan, Dongbin Zhao, S. Matthews, Demetrios G. Eliades

IEEE Symposium on Computational Intelligence for Human-like Intelligence

2014

An high-efficient online reinforcement learning algorithm for continuous-state systems

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He

Proceeding of the 11th World Congress on Intelligent Control and Automation

2014

A data-based online reinforcement learning algorithm with high-efficient exploration

Yuan-Heng Zhu, Dongbin Zhao

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

2014

A Kalman filter-based actor-critic learning approach

Bin Wang, Dongbin Zhao

IEEE International Joint Conference on Neural Network

2014

A data-based online reinforcement learning algorithm satisfying probably approximately correct principle

Yuan-Heng Zhu, Dongbin Zhao

Neural computing & applications (Print)

2013

Data-based control, optimization, modeling and applications

Dongbin Zhao, Yi Shen, Zhanshan Wang, Xiao-Lin Hu

Neural computing & applications (Print)

2013

Data-based vehicle adaptive cruise control: A review

Dongbin Zhao, Bin Wang

Proceedings of the 32nd Chinese Control Conference

2013

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition

Zhen Ni, Xiao Fang, Hai-Bo He, Dongbin Zhao, Xin Xu

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

2013

Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems

Yuan-Heng Zhu, Dongbin Zhao

International Conference on Neural Information Processing

2013

Adaptive optimal control for the uncertain driving habit problem in adaptive cruise control system

Dongbin Zhao, Zhong-Pu Xia

Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety

2013

Advances in Brain Inspired Cognitive Systems

De-Rong Liu, C. Alippi, Dongbin Zhao, A. Hussain

Lecture Notes in Computer Science

2013

Special issue on intelligent control and information processing

Dongbin Zhao, C. Alippi, De-Rong Liu, Huaguang Zhang

Soft Computing - A Fusion of Foundations, Methodologies and Applications

2013

Cooperative multiagent reinforcement learning using factor graphs

Zhen Zhang, Dongbin Zhao

International Conference on Intelligent Control and Information Processing

2013

A supervised Actor–Critic approach for adaptive cruise control

Dongbin Zhao, Bin Wang, De-Rong Liu

Soft Computing - A Fusion of Foundations, Methodologies and Applications

2012

Computational Intelligence in Urban Traffic Signal Control: A Survey

Dongbin Zhao, Yujie Dai, Zhen Zhang

IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)

2012

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming

Zhen Ni, Hai-Bo He, Dongbin Zhao, D. Prokhorov

IEEE International Joint Conference on Neural Network

2012

Neural and fuzzy dynamic programming for under-actuated systems

Dongbin Zhao, Yuan-Heng Zhu, Hai-Bo He

IEEE International Joint Conference on Neural Network

2012

Self-teaching adaptive dynamic programming for Gomoku

Dongbin Zhao, Zhen Zhang, Yujie Dai

Neurocomputing

2012

Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

Ding Wang, De-Rong Liu, Qing-Lai Wei, Dongbin Zhao, N. Jin

at - Automatisierungstechnik

2012

The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming

Bin Wang, Dongbin Zhao

International Conference on Neural Information Processing

2012

Hybrid feedback control of vehicle longitudinal acceleration

Zhong-Pu Xia, Dongbin Zhao

Proceedings of the 31st Chinese Control Conference

2012

3D Simulation of Adaptive Cruise Control Based on OGRE

Dongbin Zhao

2012

Data-driven learning and control with multiple critic networks

Hai-Bo He, Zhen Ni, Dongbin Zhao

Proceedings of the 10th World Congress on Intelligent Control and Automation

2012

Integration of fuzzy controller with adaptive dynamic programming

Yuan-Heng Zhu, Dongbin Zhao, Hai-Bo He

Proceedings of the 10th World Congress on Intelligent Control and Automation

2012

Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming

De-Rong Liu, Ding Wang, Dongbin Zhao, Qing-Lai Wei, N. Jin

IEEE Transactions on Automation Science and Engineering

2011

Guest Editorial Data-Based Control, Modeling, and Optimization

Tianyou Chai, Zhong-Sheng Hou, F. Lewis, A. Hussain, Dongbin Zhao

IEEE Transactions on Neural Networks

2011

Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm

De-Rong Liu, Ding Wang, Dongbin Zhao

The 2011 International Joint Conference on Neural Networks

2011

Neural network based online traffic signal controller design with reinforcement training

Yujie Dai, Jinzong Hu, Dongbin Zhao, F. Zhu

International Conference on Intelligent Transportation Systems

2011

Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards

Zhaohui Hu, Dongbin Zhao

Journal of Advanced Computational Intelligence and Intelligent Informatics

2011

Supervised adaptive dynamic programming based adaptive cruise control

Dongbin Zhao, Zhaohui Hu

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

2011

Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems

De-Rong Liu, Ding Wang, Dongbin Zhao

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

2011

Control of Overhead Crane Systems by Combining Sliding Mode with Fuzzy Regulator

D. Qian, J. Yi, Dongbin Zhao

2011

A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints

Ding Wang, De-Rong Liu, Dongbin Zhao, Yuzhu Huang, Dehua Zhang

Neural computing & applications (Print)

2010

Reinforcement learning for multi-agent patrol policy

Zhaohui Hu, Dongbin Zhao

International Conference on Computing and Information

2010

System and method for controlling adaptive cruise of vehicles

Dongbin Zhao

2010

A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming

Yujie Dai, Dongbin Zhao

International Conference on Networking, Sensing and Control

2010

A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming

Yujie Dai, Dongbin Zhao, J. Yi

IEEE International Joint Conference on Neural Network

2010

Inverse Control of Cable-driven Parallel Mechanism Using Type-2 Fuzzy Neural Network: Inverse Control of Cable-driven Parallel Mechanism Using Type-2 Fuzzy Neural Network

Cheng-Dong Li, J. Yi, Yi Yu, Dongbin Zhao

2010

Inverse Control of Cable-driven Parallel Mechanism Using Type-2 Fuzzy Neural Network

Cheng-Dong Li, J. Yi, Yi Yu, Dongbin Zhao

2009

Design of interval type-2 fuzzy logic system using sampled data and priorknowledge

Chengdong Li, J. Yi, Dongbin Zhao

2009

Analysis and design of monotonic type-2 fuzzy inference systems

Chengdong Li, J. Yi, Dongbin Zhao

IEEE International Conference on Fuzzy Systems

2009

Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming

Xuerui Bai, Dongbin Zhao, J. Yi

2009 International Joint Conference on Neural Networks

2009

Fuzzy logic based adjustment control of a cable-driven auto-leveling parallel robot

Yi Yu, J. Yi, Chengdong Li, Dongbin Zhao, Jianhong Zhang

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

2009

Control of the TORA system using SIRMs based type-2 fuzzy logic

Chengdong Li, J. Yi, Dongbin Zhao

IEEE International Conference on Fuzzy Systems

2009

Adaptive Integrated Control for Omnidirectional Mobile Manipulators Based on Neural-Network

Xiang-min Tan, Dongbin Zhao, J. Yi, Dong Xu

International Journal of Cognitive Informatics and Natural Intelligence

2009

ADHDP(λ) strategies based coordinated ramps metering with queuing consideration

Xuerui Bai, Dongbin Zhao, J. Yi

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

2009

Motion control of omnidirectional mobile manipulators (Part I) - Modeling and control

Xiang-min Tan, Dongbin Zhao, J. Yi, Dong Xu

2009

Control of a rope-driven self-leveling device for leveling adjustment

Yi Yu, J. Yi, Chengdong Li, Dongbin Zhao, Jianhong Zhang

American Control Conference

2009

Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach

Dong Xu, Dongbin Zhao, J. Yi, Xiang-min Tan

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)

2009

Motion and Internal Force Control for Omnidirectional Wheeled Mobile Robots

Dongbin Zhao, Xuyue Deng, J. Yi

IEEE/ASME transactions on mechatronics

2009

Motion control of omnidirectional mobile manipulators (Part II) - Robust control

Dong Xu, Dongbin Zhao, J. Yi, Xiang-min Tan

2009

An OVerview on the Adaptive Dynamic Programming Based Urban City Traffic Signal Optimal Control: An OVerview on the Adaptive Dynamic Programming Based Urban City Traffic Signal Optimal Control

Dongbin Zhao, De-Rong Liu, J. Yi

2008

A Novel Type-Reduction Method for Interval Type-2 Fuzzy Logic Systems

Chengdong Li, J. Yi, Dongbin Zhao

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery

2008

Adaptive hybrid control for omnidirectional mobile manipulators using neural-network

Xiang-min Tan, Dongbin Zhao, J. Yi, Dong Xu

American Control Conference

2008

Hierarchical sliding mode control for a class of SIMO under-actuated systems

D. Qian, J. Yi, Dongbin Zhao

2008

Ramp metering based on on-line ADHDP (lambda) controller

Xuerui Bai, Dongbin Zhao, J. Yi, Jing Xu

IEEE International Joint Conference on Neural Network

2008

DynaCAS: Computational Experiments and Decision Support for ITS

Nan Zhang, Fei-Yue Wang, F. Zhu, Dongbin Zhao, Shuming Tang

IEEE Intelligent Systems

2008

Trajectory tracking control of omnidirecitonal wheeled mobile manipulators: Robust neural network based sliding mode approach

Dong Xu, Dongbin Zhao, J. Yi, Xiang-min Tan, Zonghai Chen

IEEE International Conference on Robotics and Automation

2008

Heuristic Dynamic Programming strategy with eligibility traces

Tao Li, Dongbin Zhao, J. Yi

American Control Conference

2008

Design of a new incremental sliding mode controller

Yin-Xing Hao, J. Yi, Dongbin Zhao, D. Qian

World Congress on Intelligent Control and Automation

2008

Adaptive Dynamic Programming for Multi-intersections Traffic Signal Intelligent Control

Tao Li, Dongbin Zhao, J. Yi

2008 11th International IEEE Conference on Intelligent Transportation Systems

2007

Particle Swarn Optimized Adaptive Dynamic Programming

Dongbin Zhao, J. Yi, De-Rong Liu

2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning

2005

一种基于强化学习的在线神经模糊控制系统

李佳宁,易建强,赵冬斌,西广成

《中国科学院大学学报(中英文)》

2005

一类连续状态与动作空间下的加权Q学习

程玉虎,易建强,王雪松,赵冬斌

《电机与控制学报》

2005

A Reinforcement Learning Based Radial-Bassis Function Network Control System

Jianing Li, J. Yi, Dongbin Zhao, G. Xi

International Symposium on Neural Networks

2005

A PROPOSAL OF WEIGHTED Q-LEARNING FOR CONTINUOUS STATE AND ACTION SPACES

Yu-Hu Cheng, J. Yi, Dongbin Zhao

2005

A coordinated and hierarchical path planning approach for mobile manipulators

Xin-chun Li, Dongbin Zhao, J. Yi, Xionghui Lu

International Conference on Machine Learning and Computing

2004

On-line rule generation for robotic behavior controller based on a neural-fuzzy inference network

Jia-Ning Li, J. Yi, Dongbin Zhao

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)

2004

Application of actor-critic learning to adaptive state space construction

Yu-Hu Cheng, J. Yi, Dongbin Zhao

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)

2004

A kind of nonlinear adaptive inverse control systems based on fuzzy neural networks

Xiao-jing Liu, J. Yi, Dongbin Zhao, Wei Wang

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)

2004

Adaptive sliding mode controller for an underactuated manipulator

Wei Wang, J. Yi, Dongbin Zhao, Xiao-jing Liu

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)

2004

Double-pendulum-type overhead crane dynamics and its adaptive sliding mode fuzzy control

Diantong Liu, Wei-Ping Guo, J. Yi, Dongbin Zhao

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)

2003

Sensor-based navigation system using a modified ART-2 network and fuzzy controller for an indoor mobile robot

Yu-Hu Cheng, J. Yi, Dongbin Zhao

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)

2003

Fuzzy tuning sliding mode control of transporting for an overhead crane

Diantong Liu, J. Yi, Dongbin Zhao

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)

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)》

2018

基于无监督学习的星际争霸2宏观决策

范腾,邵坤,唐振韬,赵冬斌,庞中华

《2018中国自动化大会(CAC2018)论文集》

预印本

2025

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

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

arXiv (Cornell University)

2024

SELU: Self-Learning Embodied MLLMs in Unknown Environments

Boyu Li, Jiang, Haobin, Ziluo Ding, Xu, Xinrun, Haoran Li, Dongbin Zhao, Zongqing Lu

arXiv (Cornell University)

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