Freek Stulp
Freek Stulp
Head of Department of Cognitive Robotics, German Aerospace Center (DLR)
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Cited by
Cited by
Learning variable impedance control
J Buchli, F Stulp, E Theodorou, S Schaal
The International Journal of Robotics Research 30 (7), 820-833, 2011
Path integral policy improvement with covariance matrix adaptation
F Stulp, O Sigaud
arXiv preprint arXiv:1206.4621, 2012
Reinforcement learning with sequences of motion primitives for robust manipulation
F Stulp, EA Theodorou, S Schaal
IEEE Transactions on robotics 28 (6), 1360-1370, 2012
Many regression algorithms, one unified model: A review
F Stulp, O Sigaud
Neural Networks 69, 60-79, 2015
Robot skill learning: From reinforcement learning to evolution strategies
F Stulp, O Sigaud
Paladyn, Journal of Behavioral Robotics 4 (1), 49-61, 2013
A survey on policy search algorithms for learning robot controllers in a handful of trials
K Chatzilygeroudis, V Vassiliades, F Stulp, S Calinon, JB Mouret
IEEE Transactions on Robotics 36 (2), 328-347, 2019
Learning to grasp under uncertainty
F Stulp, E Theodorou, J Buchli, S Schaal
2011 IEEE International Conference on Robotics and Automation, 5703-5708, 2011
Hierarchical reinforcement learning with movement primitives
F Stulp, S Schaal
2011 11th IEEE-RAS International Conference on Humanoid Robots, 231-238, 2011
Movement segmentation using a primitive library
F Meier, E Theodorou, F Stulp, S Schaal
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
Learning compact parameterized skills with a single regression
F Stulp, G Raiola, A Hoarau, S Ivaldi, O Sigaud
Humanoid Robots (Humanoids), 2013 13th IEEE-RAS International Conference on …, 2013
Variable impedance control a reinforcement learning approach
J Buchli, E Theodorou, F Stulp, S Schaal
Robotics: Science and Systems VI 153, 2011
The assistive kitchen—a demonstration scenario for cognitive technical systems
M Beetz, F Stulp, B Radig, J Bandouch, N Blodow, M Dolha, A Fedrizzi, ...
RO-MAN 2008-The 17th IEEE International Symposium on Robot and Human …, 2008
Policy improvement methods: Between black-box optimization and episodic reinforcement learning
F Stulp, O Sigaud
Policy search in continuous action domains: an overview
O Sigaud, F Stulp
Neural Networks 113, 28-40, 2019
From dynamic movement primitives to associative skill memories
P Pastor, M Kalakrishnan, F Meier, F Stulp, J Buchli, E Theodorou, ...
Robotics and Autonomous Systems 61 (4), 351-361, 2013
Generality and legibility in mobile manipulation
M Beetz, F Stulp, P Esden-Tempski, A Fedrizzi, U Klank, I Kresse, ...
Autonomous Robots 28 (1), 21-44, 2010
Learning local objective functions for robust face model fitting
M Wimmer, F Stulp, S Pietzsch, B Radig
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1357-1370, 2008
Model-free reinforcement learning of impedance control in stochastic environments
F Stulp, J Buchli, A Ellmer, M Mistry, EA Theodorou, S Schaal
IEEE Transactions on Autonomous Mental Development 4 (4), 330-341, 2012
Reinforcement learning of full-body humanoid motor skills
F Stulp, J Buchli, E Theodorou, S Schaal
2010 10th IEEE-RAS International Conference on Humanoid Robots, 405-410, 2010
Investigating generalisation in continuous deep reinforcement learning
C Zhao, O Sigaud, F Stulp, TM Hospedales
arXiv preprint arXiv:1902.07015, 2019
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