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Karl Pertsch
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Year
Accelerating Reinforcement Learning with Learned Skill Priors
K Pertsch, Y Lee, JJ Lim
Conference on Robot Learning (CoRL), 2020, 2020
642020
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
302020
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
42022
1 Reinforcement Learning als Ansatz für zukünftige Diagnosemethoden
K Pertsch, DIR Ließner, IB Bäker
Diagnose in mechatronischen Fahrzeugsystemen XI, Dresden, 157-167, 2017
12017
Task-Induced Representation Learning
J Yamada, K Pertsch, A Gunjal, JJ Lim
arXiv preprint arXiv:2204.11827, 2022
2022
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Articles 1–10