CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. - Yuhong Cao; Yizhuo Wang 004; Apoorva Vashisth; Haolin Fan; Guillaume Sartoretti (CoRL, 2022)

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. - Yuhong Cao; Tianxiang Hou; Yizhuo Wang 004; Xian Yi; Guillaume Sartoretti (ICRA, 2023)

Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. - Yizhuo Wang 004; Yutong Wang 003; Yuhong Cao; Guillaume Sartoretti (IROS, 2023)

Full communication memory networks for team-level cooperation learning. - Yutong Wang 003; Yizhuo Wang 004; Guillaume Sartoretti (Auton. Agents Multi Agent Syst., 2023)

ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning. - Yizhuo Wang 004; Yuhong Cao; Jimmy Chiun; Subhadeep Koley; Mandy Pham; Guillaume Adrien Sartoretti (CoRL, 2024)

Deep Reinforcement Learning-Based Large-Scale Robot Exploration. - Yuhong Cao; Rui Zhao; Yizhuo Wang 004; Bairan Xiang; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2024)

MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments. - Jimmy Chiun; Shizhe Zhang; Yizhuo Wang 004; Yuhong Cao; Guillaume Sartoretti (CoRR, 2025)

Attention-based Learning for 3D Informative Path Planning. - Rui Zhao; Xingjian Zhang; Yuhong Cao; Yizhuo Wang 004; Guillaume Sartoretti (CoRR, 2025)

COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network. - Xingjian Zhang; Yizhuo Wang 004; Guillaume Sartoretti (CoRR, 2025)

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction. - Yizhuo Wang 004; Haodong He; Jingsong Liang; Yuhong Cao; Ritabrata Chakraborty; Guillaume Sartoretti (CoRR, 2025)