Yizhuo Wang

According to our database, Yizhuo Wang authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction.

Yizhuo Wang, Haodong He, Jingsong Liang, Yuhong Cao, Ritabrata Chakraborty, Guillaume Sartoretti

CoRR, August, 2025

COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network.

Xingjian Zhang, Yizhuo Wang, Guillaume Sartoretti

CoRR, July, 2025

Attention-based Learning for 3D Informative Path Planning.

Rui Zhao, Xingjian Zhang, Yuhong Cao, Yizhuo Wang, Guillaume Sartoretti

CoRR, June, 2025

MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments.

Jimmy Chiun, Shizhe Zhang, Yizhuo Wang, Yuhong Cao, Guillaume Sartoretti

CoRR, February, 2025

2024

Deep Reinforcement Learning-Based Large-Scale Robot Exploration.

Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti

IEEE Robotics Autom. Lett., May, 2024

ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning.

Yizhuo Wang, Yuhong Cao, Jimmy Chiun, Subhadeep Koley, Mandy Pham, Guillaume Adrien Sartoretti

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Full communication memory networks for team-level cooperation learning.

Yutong Wang, Yizhuo Wang, Guillaume Sartoretti

Auton. Agents Multi Agent Syst., October, 2023

Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets.

Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti

IROS, 2023

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration.

Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning.

Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan, Guillaume Sartoretti

Proceedings of the Conference on Robot Learning, 2022