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Cansu Sancaktar
Cansu Sancaktar
PhD Student at Max Planck Institute for Intelligent Systems
在 tuebingen.mpg.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
612020
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
222022
Optimistic active exploration of dynamical systems
L Treven, C Sancaktar, S Blaes, S Coros, A Krause
Advances in Neural Information Processing Systems 36, 38122-38153, 2023
102023
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
32023
Regularity as intrinsic reward for free play
C Sancaktar, J Piater, G Martius
Advances in Neural Information Processing Systems 36, 2024
12024
Modelling Microbial Communities with Graph Neural Networks
A Ruaud, C Sancaktar, M Bagatella, C Ratzke, G Martius
Forty-first International Conference on Machine Learning, 0
1
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
C Sancaktar, C Gumbsch, A Zadaianchuk, P Kolev, G Martius
Workshop on Training Agents with Foundation Models at RLC 2024, 0
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