Wei Du

Orcid: 0000-0001-5356-2427

Affiliations:
  • Shandong University, Jinan, China
  • China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China


According to our database1, Wei Du authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.
Soft Comput., March, 2024

Expressive Multi-Agent Communication via Identity-Aware Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Multi-agent dueling Q-learning with mean field and value decomposition.
Pattern Recognit., July, 2023

An improved density peaks clustering algorithm based on natural neighbor with a merging strategy.
Inf. Sci., May, 2023

Density peaks clustering algorithm based on improved similarity and allocation strategy.
Int. J. Mach. Learn. Cybern., April, 2023

Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

2022
Broad stochastic configuration network for regression.
Knowl. Based Syst., 2022

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning.
Inf. Sci., 2022

A novel dense capsule network based on dense capsule layers.
Appl. Intell., 2022

2021
Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning.
Int. J. Mach. Learn. Cybern., 2021

A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications.
Artif. Intell. Rev., 2021

2019
多智能体强化学习综述 (Overview on Multi-agent Reinforcement Learning).
计算机科学, 2019

A new asynchronous reinforcement learning algorithm based on improved parallel PSO.
Appl. Intell., 2019


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