Zi Wang

Caelan Reed Garrett

Int. J. Robotics Res., 2021

2019

Learning to guide task and motion planning using score-space representation.

[BibT_eX]

[DOI]

Beomjoon Kim

Int. J. Robotics Res., 2019

Learning sparse relational transition models.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning sparse relational transition models.

[BibT_eX]

[DOI]

Victoria Xia

CoRR, 2018

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior.

[BibT_eX]

[DOI]

Beomjoon Kim

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Active Model Learning and Diverse Action Sampling for Task and Motion Planning.

[BibT_eX]

[DOI]

Caelan Reed Garrett

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Batched Large-scale Bayesian Optimization in High-dimensional Spaces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Focused model-learning and planning for non-Gaussian continuous state-action systems.

[BibT_eX]

[DOI]

Stefanie Jegelka

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Max-value Entropy Search for Efficient Bayesian Optimization.

[BibT_eX]

[DOI]

Stefanie Jegelka

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Optimization as Estimation with Gaussian Processes in Bandit Settings.

[BibT_eX]

[DOI]