Meng Xu

According to our database, Meng Xu authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A Generic Competitive-Cooperative Actor-Critic Framework for Deep Reinforcement Learning.

Meng Xu, Zihao Wen, Xinhong Chen, Guanyi Zhao, Jin Huang, Jianping Wang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

A Unified Experience Replay Framework for Spiking Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Bingyi Liu, Yi-Rong Lin, Yung-Hui Li, Jianping Wang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Zhongying Chen, Guanyi Zhao, Yang Jin, Jianping Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Neighboring State-Aware Policy for Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Guanyi Zhao, Zihao Wen, Weiwei Fu, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2025

A Two-Stage Selective Experience Replay for Double-Actor Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Zihao Wen, Weiwei Fu, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., September, 2025

A Novel Topology Adaptation Strategy for Dynamic Sparse Training in Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., July, 2025

A Unified Sparse Training Framework for Lightweight Lifelong Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Weiwei Fu, Yi-Rong Lin, Yung-Hui Li, Jianping Wang

IEEE Trans. Syst. Man Cybern. Syst., April, 2025

Policy Correction and State-Conditioned Action Evaluation for Few-Shot Lifelong Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Jianping Wang

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Risk-Aware Reinforcement Learning with Group Opinion for Autonomous Driving.

Guanyi Zhao, Meng Xu, Zihao Wen, Jianping Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Strengthening Cooperative Consensus in Multi-Robot Confrontation.

Meng Xu, Xinhong Chen, Yechao She, Yang Jin, Guanyi Zhao, Jianping Wang

ACM Trans. Intell. Syst. Technol., April, 2024

Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning.

Meng Xu, Xinhong Chen, Yechao She, Yang Jin, Jianping Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Progressive Hierarchical Deep Reinforcement Learning for defect wafer test.

Meng Xu, Xinhong Chen, Yechao She, Jianping Wang

Knowl. Based Syst., 2024

2023

Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning.

Meng Xu, Yechao She, Yang Jin, Jianping Wang

ACM Trans. Intell. Syst. Technol., December, 2023

Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing.

Meng Xu, Jianping Wang

ACM Trans. Intell. Syst. Technol., April, 2023

Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning.

Meng Xu, Yechao She, Yang Jin, Jianping Wang

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

A Coupling Approach to Demand Prediction and Repositioning in SAV Systems.

Yang Jin, Dongyao Jia, Yechao She, Meng Xu, Shangbo Wang, Jianping Wang

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

On-demand Edge Inference Scheduling with Accuracy and Deadline Guarantee.

Yechao She, Minming Li, Yang Jin, Meng Xu, Jianping Wang, Bin Liu

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

2022

Learning strategy for continuous robot visual control: A multi-objective perspective.

Meng Xu, Jianping Wang

Knowl. Based Syst., 2022

2021

Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control.

Meng Xu, Qingfu Zhang, Jianping Wang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021