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Yuhong Cao
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2020 – today
- 2024
- [j1]Yuhong Cao
, Rui Zhao
Deep Reinforcement Learning-Based Large-Scale Robot Exploration. IEEE Robotics Autom. Lett. 9(5): 4631-4638 (2024) - [i11]Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti:
Deep Reinforcement Learning-based Large-scale Robot Exploration. CoRR abs/2403.10833 (2024) - [i10]Jimmy Chiun, Yan Rui Tan, Yuhong Cao, John Tan, Guillaume Sartoretti:
STAR: Swarm Technology for Aerial Robotics Research. CoRR abs/2406.16671 (2024) - [i9]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 abs/2407.20203 (2024) - [i8]Jingsong Liang, Yuhong Cao, Yixiao Ma, Hanqi Zhao, Guillaume Sartoretti:
HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks. CoRR abs/2408.03768 (2024) - [i7]Derek Ming Siang Tan, Yixiao Ma, Jingsong Liang, Yi Cheng Chng, Yuhong Cao, Guillaume Sartoretti:
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity. CoRR abs/2409.04730 (2024) - [i6]Yuhong Cao, Jeric Lew, Jingsong Liang, Jin Cheng, Guillaume Sartoretti:
DARE: Diffusion Policy for Autonomous Robot Exploration. CoRR abs/2410.16687 (2024) - 2023
- [c6]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: 1425-1436 - [c5]Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti:
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. ICRA 2023: 10219-10225 - [c4]Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti:
Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. IROS 2023: 3903-3910 - [c3]Tianze Yang, Yuhong Cao, Guillaume Sartoretti:
Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. MRS 2023: 71-77 - [i5]Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti:
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. CoRR abs/2301.11575 (2023) - [i4]Tianze Yang, Yuhong Cao, Guillaume Sartoretti:
Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. CoRR abs/2303.05351 (2023) - [i3]Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti:
Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. CoRR abs/2303.06350 (2023) - 2022
- [c2]Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan
CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. CoRL 2022: 1928-1937 - [c1]Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti:
DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem. DARS 2022: 202-215 - [i2]Yutong Wang, Mehul Damani, Pamela Wang, Yuhong Cao, Guillaume Sartoretti:
Distributed Reinforcement Learning for Robot Teams: A Review. CoRR abs/2204.03516 (2022) - 2021
- [i1]Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti:
DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem. CoRR abs/2109.04205 (2021)
Coauthor Index
aka: Guillaume Adrien Sartoretti
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