Zi Wang - RankMe

20 papers A* 4A 3Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Learning compositional models of robot skills for task and motion planning. Int. J. Robotics Res. Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	J	`jnl`	Learning compositional models of robot skills for task and motion planning. CoRR Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2019	—	`conf`	Learning sparse relational transition models. ICLR (Poster) Victoria Xia, Zi Wang, Kelsey R. Allen, Tom Silver, Leslie Pack Kaelbling
2019	J	`jnl`	Learning to guide task and motion planning using score-space representation. Int. J. Robotics Res. Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A	`conf`	Active Model Learning and Diverse Action Sampling for Task and Motion Planning. IROS Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Active model learning and diverse action sampling for task and motion planning. CoRR Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A	`conf`	Batched Large-scale Bayesian Optimization in High-dimensional Spaces. AISTATS Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka
2018	J	`jnl`	Learning sparse relational transition models. CoRR Victoria Xia, Zi Wang, Leslie Pack Kaelbling
2018	J	`jnl`	Learning to guide task and motion planning using score-space representation. CoRR Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	A*	`conf`	Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. NeurIPS Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling
2018	J	`jnl`	Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior. CoRR Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling
2017	A*	`conf`	Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. ICML Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli
2017	J	`jnl`	Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. CoRR Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli
2017	J	`jnl`	Batched Large-scale Bayesian Optimization in High-dimensional Spaces. CoRR Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka
2017	A*	`conf`	Focused model-learning and planning for non-Gaussian continuous state-action systems. ICRA Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2017	A*	`conf`	Max-value Entropy Search for Efficient Bayesian Optimization. ICML Zi Wang, Stefanie Jegelka
2017	J	`jnl`	Max-value Entropy Search for Efficient Bayesian Optimization. CoRR Zi Wang, Stefanie Jegelka
2016	J	`jnl`	Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems. CoRR Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	A	`conf`	Optimization as Estimation with Gaussian Processes in Bandit Settings. AISTATS Zi Wang, Bolei Zhou, Stefanie Jegelka
2015	J	`jnl`	Optimization as Estimation with Gaussian Processes in Bandit Settings. CoRR Zi Wang, Bolei Zhou, Stefanie Jegelka