Sarah Bechtle
Sarah Bechtle
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Meta-learning via learned loss
S Bechtle, A Molchanov, Y Chebotar, E Grefenstette, L Righetti, ...
arXiv preprint arXiv:1906.05374, 2019
18*2019
Curious ilqr: Resolving uncertainty in model-based rl
S Bechtle, Y Lin, A Rai, L Righetti, F Meier
Conference on Robot Learning, 162-171, 2020
122020
On the sense of agency and of object permanence in robots
S Bechtle, G Schillaci, VV Hafner
2016 Joint IEEE International Conference on Development and Learning and …, 2016
82016
First steps towards the development of the sense of object permanence in robots
S Bechtle, G Schillaci, VV Hafner
2015 Joint IEEE International Conference on Development and Learning and …, 2015
22015
Towards a humanoid-oriented movement writing
A Stoica, HJ Suh, SM Hewitt, S Bechtle, A Gruebler, Y Iwashita
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
12017
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation
S Bechtle, N Das, F Meier
arXiv preprint arXiv:2011.03882, 2020
2020
Leveraging Forward Model Prediction Error for Learning Control
S Bechtle, B Hammoud, A Rai, F Meier, L Righetti
arXiv preprint arXiv:2011.03859, 2020
2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
N Das, S Bechtle, T Davchev, D Jayaraman, A Rai, F Meier
arXiv preprint arXiv:2010.09034, 2020
2020
Exploring by Exploiting Bad Models in Model-Based Reinforcement Learning
Y Lin, S Bechtle, L Righetti, A Rai, F Meier
2019
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Articles 1–9