8 citations · 19 across the 5 of their papers we have counts for
5 papers
Learning compositional models of robot skills for task and motion planning
Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling +1
The objective of this work is to augment the basic abilities of a robot by learning to use sensorimotor primitives to solve complex long-horizon manipulation problems. This require…
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling
Bayesian optimization usually assumes that a Bayesian prior is given. However, the strong theoretical guarantees in Bayesian optimization are often regrettably compromised in pract…
Learning sparse relational transition models
Victoria Xia, Zi Wang, Leslie Pack Kaelbling
We present a representation for describing transition models in complex uncertain domains using relational rules. For any action, a rule selects a set of relevant objects and compu…
Active model learning and diverse action sampling for task and motion planning
Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling +1
The objective of this work is to augment the basic abilities of a robot by learning to use new sensorimotor primitives to enable the solution of complex long-horizon problems. Solv…
Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems
Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling +1
We introduce a framework for model learning and planning in stochastic domains with continuous state and action spaces and non-Gaussian transition models. It is efficient because (…