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Demonstration-Guided Reinforcement Learning with Learned Skills


Jul 21, 2021
Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim


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Accelerating Reinforcement Learning with Learned Skill Priors


Oct 22, 2020
Karl Pertsch, Youngwoon Lee, Joseph J. Lim

* 4th Conference on Robot Learning (CoRL), 2020 

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Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments


Oct 22, 2020
Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert

* Published at the Conference on Robot Learning (CoRL) 2020 

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Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors


Jun 23, 2020
Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

* Project page: orybkin.github.io/video-gcp 

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KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction


Apr 11, 2019
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Kosta Derpanis, Joseph Lim, Kostas Daniilidis, Andrew Jaegle

* 8 pages + 5 pages of references and appendices 

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Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction


Jun 25, 2018
Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis

* 18 pages including appendix 

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iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects


Jun 18, 2018
Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother


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