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Cansu Sancaktar
Cansu Sancaktar
PhD Student at Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
End-to-end pixel-based deep active inference for body perception and action
C Sancaktar, MAJ Van Gerven, P Lanillos
2020 Joint IEEE 10th International Conference on Development and Learning …, 2020
602020
Curious exploration via structured world models yields zero-shot object manipulation
C Sancaktar, S Blaes, G Martius
Advances in Neural Information Processing Systems 35, 24170-24183, 2022
152022
Optimistic Active Exploration of Dynamical Systems
B Sukhija, L Treven, C Sancaktar, S Blaes, S Coros, A Krause
arXiv preprint arXiv:2306.12371, 2023
42023
Real robot challenge 2022: Learning dexterous manipulation from offline data in the real world
N Gürtler, F Widmaier, C Sancaktar, S Blaes, P Kolev, S Bauer, ...
NeurIPS 2022 Competition Track, 133-150, 2023
22023
Optimistic Active Exploration of Dynamical Systems
L Treven, C Sancaktar, S Blaes, S Coros, A Krause
Advances in Neural Information Processing Systems 36, 2024
2024
Regularity as Intrinsic Reward for Free Play
C Sancaktar, J Piater, G Martius
Advances in Neural Information Processing Systems 36, 2024
2024
Modelling Microbial Communities with Graph Neural Networks
A Ruaud, C Sancaktar, M Bagatella, C Ratzke, G Martius
2023
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