Yizhuo Wang - RankMe

18 papers A* 2A 1Misc 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics. CoRR Jie Chen, Yuxin Cai, Yizhuo Wang, Ruofei Bai, Yuhong Cao, Jun Li, Yau Wei Yun, Guillaume Sartoretti
2026	J	`jnl`	ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation. CoRR Shizhe Zhang, Jingsong Liang, Zhitao Zhou, Shuhan Ye, Yizhuo Wang, Derek Ming Siang Tan, Jimmy Chiun, Yuhong Cao, Guillaume Sartoretti
2025	J	`jnl`	Attention-based Learning for 3D Informative Path Planning. CoRR Rui Zhao, Xingjian Zhang, Yuhong Cao, Yizhuo Wang, Guillaume Sartoretti
2025	—	`conf`	COMPASS: Cooperative Multi-Agent Persistent Monitoring Using Spatio-Temporal Attention Network. MRS Xingjian Zhang, Yizhuo Wang, Guillaume Sartoretti
2025	J	`jnl`	COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network. CoRR Xingjian Zhang, Yizhuo Wang, Guillaume Sartoretti
2025	J	`jnl`	CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction. CoRR Yizhuo Wang, Haodong He, Jingsong Liang, Yuhong Cao, Ritabrata Chakraborty, Guillaume Sartoretti
2025	J	`jnl`	HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward. CoRR Yuhong Cao, Yizhuo Wang, Jingsong Liang, Shuhao Liao, Yifeng Zhang, Peizhuo Li, Guillaume Sartoretti
2025	A*	`conf`	MARVEL: Multi-Agent Reinforcement Learning for Constrained Field-of-View Multi-Robot Exploration in Large-Scale Environments. ICRA Jimmy Chiun, Shizhe Zhang, Yizhuo Wang, Yuhong Cao, Guillaume Sartoretti
2025	J	`jnl`	MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments. CoRR Jimmy Chiun, Shizhe Zhang, Yizhuo Wang, Yuhong Cao, Guillaume Sartoretti
2024	J	`jnl`	Deep Reinforcement Learning-Based Large-Scale Robot Exploration. IEEE Robotics Autom. Lett. Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti
2024	J	`jnl`	Deep Reinforcement Learning-based Large-scale Robot Exploration. CoRR Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti
2024	Misc	`conf`	ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning. CoRL Yizhuo Wang, Yuhong Cao, Jimmy Chiun, Subhadeep Koley, Mandy Pham, Guillaume Adrien Sartoretti
2023	A*	`conf`	ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. ICRA Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti
2023	J	`jnl`	ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. CoRR Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti
2023	J	`jnl`	Full communication memory networks for team-level cooperation learning. Auton. Agents Multi Agent Syst. Yutong Wang, Yizhuo Wang, Guillaume Sartoretti
2023	A	`conf`	Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. IROS Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti
2023	J	`jnl`	Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. CoRR Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti
2022	Misc	`conf`	CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. CoRL Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan, Guillaume Sartoretti