Wenzhang Liu

According to our database, Wenzhang Liu authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Enhancing Consumer UAV Autonomy: An Entropy-Augmented Deep Reinforcement Learning for Autonomous Navigation in Dense Obstacle Environments.

Lu Ren, Zhuoran Shi, Qingchen Liu, Wenzhang Liu, Changyin Sun

IEEE Trans. Consumer Electron., February, 2026

A decomposition-based constrained multi-objective optimization algorithm with dynamic resource reallocation guided by niche classification.

Rui Yang, Minggang Dong, Wenzhang Liu

Swarm Evol. Comput., 2026

2025

Deep Reinforcement Learning for UAV Indoor Navigation Through Task Decomposition.

Lu Ren, Zelong Fang, Wenzhang Liu, Chaoxu Mu, Changyin Sun

IEEE CAA J. Autom. Sinica, December, 2025

AUV Collision Avoidance Strategy Based on Fuzzy Reinforcement Learning.

Xiang Cao, Jing Peng, Wenzhang Liu, Lu Ren, Changyin Sun

IEEE Trans. Intell. Veh., March, 2025

Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation.

Wenzhang Liu, Lianjun Jin, Lu Ren, Chaoxu Mu, Changyin Sun

CoRR, January, 2025

Intrinsic plasticity coding improved spiking actor network for reinforcement learning.

Xingyue Liang, Qiaoyun Wu, Wenzhang Liu, Yun Zhou, Chunyu Tan, Hongfu Yin, Changyin Sun

Neural Networks, 2025

ODF based deep learning network for unsupervised deformable diffusion resonance image registration (ODDRnet).

Mengyao Li, Jieying Zhang, Baogui Zhang, Kai Liu, Qing Li, Peipeng Liang, Wenzhang Liu, Tianyi Qian

NeuroImage, 2025

2024

Underwater Target Capture Based on Heterogeneous Unmanned System Collaboration.

Xiang Cao, Wenzhang Liu, Lu Ren

IEEE Trans. Intell. Veh., October, 2024

Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning.

Kun Jiang, Wenzhang Liu, Yuanda Wang, Lu Dong, Changyin Sun

IEEE CAA J. Autom. Sinica, July, 2024

2023

Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks.

Kun Jiang, Wenzhang Liu, Yuanda Wang, Lu Dong, Changyin Sun

Appl. Intell., December, 2023

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library.

Wenzhang Liu, Wenzhe Cai, Kun Jiang, Guangran Cheng, Yuanda Wang, Jiawei Wang, Jingyu Cao, Lele Xu, Chaoxu Mu, Changyin Sun

CoRR, 2023

2022

Efficient Exploration for Multi-Agent Reinforcement Learning via Transferable Successor Features.

Wenzhang Liu, Lu Dong, Dan Niu, Changyin Sun

IEEE CAA J. Autom. Sinica, 2022

2021

Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems.

Changyin Sun, Wenzhang Liu, Lu Dong

IEEE Trans. Neural Networks Learn. Syst., 2021

2018

A Broad Neural Network Structure for Class Incremental Learning.

Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018