Yuhong Cao

According to our database, Yuhong Cao authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

2023

Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning.

Tianze Yang, Yuhong Cao, Guillaume Sartoretti

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 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

Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area.

Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti

Proceedings of the Conference on Robot Learning, 2023

2022

Distributed Reinforcement Learning for Robot Teams: A Review.

Yutong Wang, Mehul Damani, Pamela Wang, Yuhong Cao, Guillaume Sartoretti

CoRR, 2022

DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem.

Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti

Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 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

2021

DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem.

Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti

CoRR, 2021