Karl Pertsch

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Joseph J. LimAssociate Professor at KAISTVerified email at csail.mit.edu
Oleh RybkinPh.D. student, University of PennsylvaniaVerified email at seas.upenn.edu
Youngwoon LeePh.D. Student at USCVerified email at usc.edu
Andrew JaegleResearch Scientist, DeepMindVerified email at google.com
Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
Konstantinos G. DerpanisYork University and Samsung AI Centre TorontoVerified email at eecs.yorku.ca
Dinesh JayaramanAssistant Professor, University of PennsylvaniaVerified email at seas.upenn.edu
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Frederik EbertUC BerkeleyVerified email at berkeley.edu

Karl Pertsch

University of Southern California

Verified email at usc.edu - Homepage

Artificial Intelligence Machine Learning Robotics Computer Vision


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Accelerating Reinforcement Learning with Learned Skill Priors K Pertsch, Y Lee, JJ Lim Conference on Robot Learning (CoRL), 2020, 2020	64	2020
iPose: instance-aware 6D pose estimation of partly occluded objects OH Jafari, SK Mustikovela, K Pertsch, E Brachmann, C Rother Asian Conference on Computer Vision (ACCV), 2018, 2017	58*	2017
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors K Pertsch, O Rybkin, F Ebert, C Finn, D Jayaraman, S Levine Conference on Neural Information Processing Systems (NeurIPS), 2020, 2020	30	2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments J Yamada, Y Lee, G Salhotra, K Pertsch, M Pflueger, GS Sukhatme, ... Conference on Robot Learning (CoRL), 2020, 2020	22*	2020
Learning what you can do before doing anything O Rybkin, K Pertsch, KG Derpanis, K Daniilidis, A Jaegle International Conference on Learning Representations (ICLR), 2019, 2018	21*	2018
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning K Pertsch, O Rybkin, J Yang, K Derpanis, K Daniilidis, J Lim, A Jaegle 2nd Conference on Learning for Dynamics and Control (L4DC), 2020, 2020	15*	2020
Demonstration-Guided Reinforcement Learning with Learned Skills K Pertsch, Y Lee, Y Wu, JJ Lim Conference on Robot Learning (CoRL), 2021, 2021	12*	2021
Skill-based Meta-Reinforcement Learning T Nam, SH Sun, K Pertsch, SJ Hwang, JJ Lim arXiv preprint arXiv:2204.11828, 2022	4	2022
1 Reinforcement Learning als Ansatz für zukünftige Diagnosemethoden K Pertsch, DIR Ließner, IB Bäker Diagnose in mechatronischen Fahrzeugsystemen XI, Dresden, 157-167, 2017	1	2017
Task-Induced Representation Learning J Yamada, K Pertsch, A Gunjal, JJ Lim arXiv preprint arXiv:2204.11827, 2022		2022

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