Integrated task and motion planning
.
Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez.
Annual Review of Control, Robotics, and Autonomous Systems, 2021.
[pdf]
[arXiv]
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
.
Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Hogan, Joshua Tenenbaum, Pulkit Agrawal,
Alberto Rodriguez.
Conference on Robot Learning (CoRL), 2020.
[arXiv]
[project page]
[video]
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in
Factored
MDPs
.
Rohan Chitnis*, Tom Silver*, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Conference on Robot Learning (CoRL), 2020.
Plenary talk (top 12% of accepted papers).
[pdf]
[video]
Monte Carlo Tree Search in continuous spaces using Voronoi optimistic
optimization with
regret bounds
.
Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomas Lozano-Perez.
AAAI Conference on Artificial Intelligence (AAAI), 2020.
Oral (top 6% of accepted papers).
[pdf]
[appendix]
Learning to guide task and motion planning using score-space
representation.
Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomas Lozano-Perez.
International Journal of Robotics Research, 2019.
[doi]
[arXiv]
Learning value functions with relational state representations for guiding
task-and-motion planning.
Beomjoon Kim, Luke Shimanuki
Conference on Robot Learning (CoRL), 2019.
[pdf]
[appendix]
Adversarial actor-critic method for task and motion planning problems using planning
experience.
Beomjoon Kim, Leslie Pack Kaelbling, Tomas Lozano-Perez
AAAI Conference on Artificial Intelligence (AAAI), 2019.
Oral (top 6% of accepted papers).
[pdf]
[appendix]
Regret bounds for meta Bayesian optimization with an unknown Gaussian process
prior.
Zi Wang*, Beomjoon Kim*, Leslie Pack Kaelbling
Neural Information Processing Systems (NeurIPS), 2018.
Spotlight (top 3.5% of accepted papers).
[pdf]
Guiding search in continuous state-action spaces by learning an action sampler from
off-target search experience.
Beomjoon Kim, Leslie Pack Kaelbling, Tomas Lozano-Perez
AAAI Conference on Artificial Intelligence (AAAI), 2018.
Oral (top 6% of accepted papers).
[pdf]
Generalizing over uncertain dynamics for on-line trajectory generation.
Beomjoon Kim, Leslie Pack Kaelbling, Tomas Lozano-Perez
International Symposium of Robotics Research (ISRR), 2015.
[pdf]
Generalizing over uncertain dynamics for on-line trajectory generation.
Beomjoon Kim, Amir-massoud Farahmand, Doina Precup, Joelle Pineau.
Neural Information Processing Systems (NeurIPS), 2013.
Spotlight (top 4% of accepted papers).
[pdf]
Maximum mean discrepancy imitation learning.
Beomjoon Kim, Joelle Pineau.
Robotics: Science and Systems (RSS), 2013.
[pdf]
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