Quan Liu

According to our database, Quan Liu authored at least 82 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

LinFa-Q: Accurate Q-learning with linear function approximation.

Zhechao Wang, Qiming Fu, Jianping Chen, Quan Liu, You Lu, Hongjie Wu, Fuyuan Hu

Neurocomputing, 2025

A Lyapunov-Based Convex Optimal Control Approach via Input Convex Transformer.

Renyang You, Quan Liu, Shenghui Guo, Zhiming Cui

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Offline-to-Online: Case-Based Knowledge Distillation with Large Language Models for Reinforcement Learning.

Hongzhe Liu, Quan Liu, Lan Wu, Meilong Shi, Zhiming Cui

Proceedings of the Case-Based Reasoning Research and Development, 2025

Diverse Collaboration in Multi-Agent Reinforcement Learning via Self-Adaptive Method.

Xiang Xue, Quan Liu, Meilong Shi, Yuchao Jin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint.

Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu

Expert Syst. Appl., March, 2024

RLUC: Strengthening robustness by attaching constraint considerations to policy network.

Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu

Expert Syst. Appl., March, 2024

Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments.

Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu

Expert Syst. Appl., March, 2024

Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces.

Zhigang Huang, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu

Expert Syst. Appl., March, 2024

Deep Luenberger observer-based consistency tracking for nonlinear heterogeneous multi-agent systems with uncertain drift dynamics.

Renyang You, Quan Liu

Knowl. Based Syst., 2024

Balanced Subgoals Generation in Hierarchical Reinforcement Learning.

Sifeng Tong, Quan Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Multi-Agent Self-Motivated Learning via Role Representation.

Yuchao Jin, Quan Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

Offline Reinforcement Learning Based on Next State Supervision.

Jie Yan, Quan Liu, Lihua Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation.

Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation.

Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

Deep Deterministic Strategy Gradient Method Using Plot Experience Playback.

Quan Liu, Jun Zhang, Jianxing Zhang, Bofeng Zhang

Proceedings of the 24th IEEE/ACIS International Conference on Computer and Information Science, 2024

2023

Generalized gradient emphasis learning for off-policy evaluation and control with function approximation.

Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong

Neural Comput. Appl., November, 2023

Hierarchical reinforcement learning with adaptive scheduling for robot control.

Zhigang Huang, Quan Liu, Fei Zhu

Eng. Appl. Artif. Intell., November, 2023

Addressing implicit bias in adversarial imitation learning with mutual information.

Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang

Neural Networks, October, 2023

Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control.

Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong

Appl. Intell., September, 2023

A stable actor-critic algorithm for solving robotic tasks with multiple constraints.

Peiyao Zhao, Fei Zhu, Quan Liu, Xinghong Ling

Frontiers Comput. Sci., August, 2023

Learning fair representations for accuracy parity.

Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li

Eng. Appl. Artif. Intell., March, 2023

Cosine Similarity Based Representation Learning for Adversarial Imitation Learning.

Xiongzhen Zhang, Quan Liu, Lihua Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Self-adaptive Inverse Soft-Q Learning for Imitation.

Zhuo Wang, Quan Liu, Xiongzhen Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Efficient Collaboration via Interaction Information in Multi-agent System.

Meilong Shi, Quan Liu, Zhigang Huang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets.

Lihua Zhang, Quan Liu, Xiongzhen Zhang, Yapeng Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning.

Lihua Zhang, Quan Liu, Zhigang Huang, Lan Wu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Explore the weakness: Instructive exploration adversarial robust reinforcement learning.

Chunyang Wu, Fei Zhu, Quan Liu

J. King Saud Univ. Comput. Inf. Sci., 2022

Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations.

Lin Zhang, Fei Zhu, Xinghong Ling, Quan Liu

Inf. Sci., 2022

Learning fair representations by separating the relevance of potential information.

Tangkun Quan, Fei Zhu, Xinghong Ling, Quan Liu

Inf. Process. Manag., 2022

Improving deep reinforcement learning by safety guarding model via hazardous experience planning.

Pai Peng, Fei Zhu, Xinghong Ling, Peiyao Zhao, Quan Liu

Frontiers Comput. Sci., 2022

Vital node searcher: find out critical node measure with deep reinforcement learning.

Guanting Du, Fei Zhu, Quan Liu

Connect. Sci., 2022

Master-Slave Policy Collaboration for Actor-Critic Methods.

Xiaomu Li, Quan Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Self-guided deep deterministic policy gradient with multi-actor.

Hongming Chen, Quan Liu, Shan Zhong

Neural Comput. Appl., 2021

ARAIL: Learning to rank from incomplete demonstrations.

Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao

Inf. Sci., 2021

Gradient temporal-difference learning for off-policy evaluation using emphatic weightings.

Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong

Inf. Sci., 2021

Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification.

Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu

IEEE CAA J. Autom. Sinica, 2021

Improving exploration efficiency of deep reinforcement learning through samples produced by generative model.

Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao

Expert Syst. Appl., 2021

2020

A resource retrieval method of multimedia recommendation system based on deep learning.

Xiaofei Liu, Fei Zhu, Yuchen Fu, Quan Liu

Int. J. Auton. Adapt. Commun. Syst., 2020

Multi-agent cooperation Q-learning algorithm based on constrained Markov Game.

Yangyang Ge, Fei Zhu, Wei Huang, Peiyao Zhao, Quan Liu

Comput. Sci. Inf. Syst., 2020

2019

基于视觉注意力机制的异步优势行动者-评论家算法 (Asynchronous Advantage Actor-Critic Algorithm with Visual Attention Mechanism).

Jie Li, Xinghong Ling, Yuchen Fu, Quan Liu

计算机科学, 2019

一种基于生成对抗网络的强化学习算法 (Reinforcement Learning Algorithm Based on Generative Adversarial Networks).

Jianping Chen, Feng Zou, Quan Liu, Hongjie Wu, Fuyuan Hu, Qiming Fu

计算机科学, 2019

Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation.

Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu

Frontiers Comput. Sci., 2019

SARSA based access control with approximation by TileCoding.

Fei Zhu, Pai Peng, Quan Liu, Yuchen Fu, Shan Zhong

Comput. Sci. Inf. Syst., 2019

Residual Sarsa algorithm with function approximation.

Qiming Fu, Wen Hu, Quan Liu, Heng Luo, Lingyao Hu, Jianping Chen

Clust. Comput., 2019

Safe Q-Learning Method Based on Constrained Markov Decision Processes.

Yangyang Ge, Fei Zhu, Xinghong Ling, Quan Liu

IEEE Access, 2019

2018

Single Trajectory Learning: Exploration Versus Exploitation.

Qiming Fu, Quan Liu, Shan Zhong, Heng Luo, Hongjie Wu, Jianping Chen

Int. J. Pattern Recognit. Artif. Intell., 2018

Policy Space Noise in Deep Deterministic Policy Gradient.

Yan Yan, Quan Liu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Deep Deterministic Policy Gradient with Clustered Prioritized Sampling.

Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Accurate Q-Learning.

Zhihui Hu, Yubin Jiang, Xinghong Ling, Quan Liu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Efficient actor-critic algorithm with dual piecewise model learning.

Shan Zhong, Quan Liu, Shengrong Gong, Qiming Fu, Jin Xu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Reasoning and predicting POMDP planning complexity via covering numbers.

Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu

Frontiers Comput. Sci., 2016

Learn to human-level control in dynamic environment using incremental batch interrupting temporal abstraction.

Yuchen Fu, Zhipeng Xu, Fei Zhu, Quan Liu, Xiaoke Zhou

Comput. Sci. Inf. Syst., 2016

Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning.

Shan Zhong, Quan Liu, Qi-ming Fu

Comput. Intell. Neurosci., 2016

Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs.

Weisheng Qian, Quan Liu, Zongzhang Zhang, Zhiyuan Pan, Shan Zhong

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification.

Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, Jianwei Zhai, Cijia Sun, Peng Zhang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Deep Q-Learning with Prioritized Sampling.

Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Sparse Kernel-Based Least Squares Temporal Difference with Prioritized Sweeping.

Cijia Sun, Xinghong Ling, Yuchen Fu, Quan Liu, Haijun Zhu, Jianwei Zhai, Peng Zhang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract).

Zongzhang Zhang, Quan Liu

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Learning topic of dynamic scene using belief propagation and weighted visual words approach.

Chunping Liu, Hui Lin, Shengrong Gong, Yi Ji, Quan Liu

Soft Comput., 2015

Human-level moving object recognition from traffic video.

Fei Zhu, Quan Liu, Shan Zhong, Yang Yang

Comput. Sci. Inf. Syst., 2015

Spatiotemporal Saliency Detection Using Slow Feature Analysis and Spatial Information for Dynamic Scenes.

Yang Wu, Zhaohui Wang, Xin Xu, Shengrong Gong, Quan Liu, Chunping Liu

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning.

Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

A Bayesian Sarsa Learning Algorithm with Bandit-Based Method.

Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs.

Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Protein-protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer.

Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

A Gradient Descent Sarsa(λ) Algorithm Based on the Adaptive Reward-shaping Mechanism.

Quan Liu, Qi-ming Fu, Fei Xiao, Yuchen Fu

Intell. Autom. Soft Comput., 2013

The second order temporal difference error for Sarsa(λ).

Qi-ming Fu, Quan Liu, Fei Xiao, Guixin Chen

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

A parallel scheduling algorithm for reinforcement learning in large state space.

Quan Liu, Xudong Yang, Ling Jing, Jin Li, Jiao Li

Frontiers Comput. Sci., 2012

2011

Relevance feedback techniques and genetic algorithm for image retrieval based on multiple features.

Qi-ming Fu, Quan Liu, Xiaoyan Wang, Le Zhang

Int. J. Model. Identif. Control., 2011

Double elite co-evolutionary genetic algorithm.

Xiaoyan Wang, Quan Liu, Qi-ming Fu, Le Zhang

Int. J. Comput. Sci. Eng., 2011

2010

A Data Aggregation Algorithm Based on Splay Tree for Wireless Sensor Networks.

Shukui Zhang, Zhiming Cui, Sheng-Rong Gong, Quan Liu, Jianxi Fan

J. Comput., 2010

2009

An Aggregation Tree Approach for Event Detection in Wireless Sensor Networks.

Shukui Zhang, Sheng-Rong Gong, Zhiming Cui, Quan Liu, Jianxi Fan

J. Softw., 2009

An Efficient Strategy for Enhancing Robustness and Immunization in Wireless Sensor Networks.

Shukui Zhang, Sheng-Rong Gong, Zhiming Cui, Quan Liu

J. Networks, 2009

A Method to Automatically Discover and Classify Deep Web Data Source Using Multi-Classifier.

Zhi-tao Li, Quan Liu, Zhiming Cui, Yuchen Fu

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Correlated-Clustering Frame: A Holistic Method of Deep Web Schema Matching Based on Data Mining.

Yuchen Fu, Quan Liu, Yunlong Xu, Chao Zhang, Wenyun Zhou, Zhiming Cui

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A Reinforcement Learning Algorithm Based on Minimum State Method and Average Reward.

Qi-ming Fu, Quan Liu, Zhiming Cui, Yuchen Fu

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2007

An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning.

Quan Liu, Yang Gao, Zhiming Cui, WangShu Yao, ZhongWen Chen

Proceedings of the Advances in Computation and Intelligence, 2007

A Deep Web Data Integration System For Book Searching Domain.

Xin Zhong, Yuchen Fu, Quan Liu, Yan Wang, Zhiming Cui

Proceedings of the Workshop on Intelligent Information Technology Application, 2007

The Design and Implementation of a Topic-Driven Crawler.

Qiong Li, Tao Jin, Yuchen Fu, Quan Liu, Zhiming Cui

Proceedings of the Workshop on Intelligent Information Technology Application, 2007

Study on Competitive Intelligence System based on Web.

Li Kong, Yuchen Fu, Xiaoke Zhou, Quan Liu, Zhiming Cui

Proceedings of the Workshop on Intelligent Information Technology Application, 2007

A Method of Ontology Mapping Based on Subtree Kernel.

Tao Jin, Yuchen Fu, Xinghong Ling, Quan Liu, Zhiming Cui

Proceedings of the Workshop on Intelligent Information Technology Application, 2007

A Method of Ontology Mapping Based on Instance.

Tao Jin, Yuchen Fu, Xinhong Lin, Quan Liu, Zhiming Cui

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007