Yuhong Cao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Perceptual Aliasing

Exploration Exploitation

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti
Deep Reinforcement Learning-based Large-scale Robot Exploration. CoRR (2024)
Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti
Deep Reinforcement Learning-Based Large-Scale Robot Exploration. IEEE Robotics Autom. Lett. 9 (5) (2024)
Yixiao Ma, Jingsong Liang, Yuhong Cao, Derek Ming Siang Tan, Guillaume Sartoretti
Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration. CoRR (2024)
Jimmy Chiun, Yan Rui Tan, Yuhong Cao, John Tan, Guillaume Sartoretti
STAR: Swarm Technology for Aerial Robotics Research. CoRR (2024)
Tianze Yang, Yuhong Cao, Guillaume Sartoretti
Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. CoRR (2023)
Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. CoRR (2023)
Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti
Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. CoRR (2023)
Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti
Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area. CoRL (2023)
Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. ICRA (2023)
Tianze Yang, Yuhong Cao, Guillaume Sartoretti
Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. MRS (2023)
Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti
Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. IROS (2023)
Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti
DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem. DARS (2022)
Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan, Guillaume Sartoretti
CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. CoRL (2022)
Yutong Wang, Mehul Damani, Pamela Wang, Yuhong Cao, Guillaume Sartoretti
Distributed Reinforcement Learning for Robot Teams: A Review. CoRR (2022)
Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti
DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem. CoRR (2021)