Jonas Degrave
Jonas Degrave
Research Scientist, Deepmind
Verified email at - Homepage
Cited by
Cited by
Magnetic control of tokamak plasmas through deep reinforcement learning
J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ...
Nature 602 (7897), 414-419, 2022
Learning by playing solving sparse reward tasks from scratch
M Riedmiller, R Hafner, T Lampe, M Neunert, J Degrave, T Wiele, V Mnih, ...
International conference on machine learning, 4344-4353, 2018
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 74, 2015
A Differentiable Physics Engine for Deep Learning in Robotics
J Degrave, M Hermans, J Dambre, F wyffels
arXiv preprint arXiv:1611.01652, 2016
Relative entropy regularized policy iteration
A Abdolmaleki, JT Springenberg, J Degrave, S Bohez, Y Tassa, D Belov, ...
arXiv preprint arXiv:1812.02256, 2018
Drelus: Dual rectified linear units
F Godin, J Degrave, W De Neve
arXiv preprint arXiv:1707.08214, 2017
Self-supervised learning of image embedding for continuous control
C Florensa, J Degrave, N Heess, JT Springenberg, M Riedmiller
arXiv preprint arXiv:1901.00943, 2019
Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs
AT Spröwitz, A Tuleu, M Ajallooeian, M Vespignani, R Möckel, P Eckert, ...
Frontiers in Robotics and AI 5, 67, 2018
Towards improved design and evaluation of epileptic seizure predictors
I Korshunova, PJ Kindermans, J Degrave, T Verhoeven, BH Brinkmann, ...
IEEE Transactions on Biomedical Engineering 65 (3), 502-510, 2017
Morphological properties of mass–spring networks for optimal locomotion learning
G Urbain, J Degrave, B Carette, J Dambre, F Wyffels
Frontiers in neurorobotics 11, 16, 2017
Shaking the foundations: delusions in sequence models for interaction and control
PA Ortega, M Kunesch, G Delétang, T Genewein, J Grau-Moya, J Veness, ...
arXiv preprint arXiv:2110.10819, 2021
Bruno: A deep recurrent model for exchangeable data
I Korshunova, J Degrave, F Huszár, Y Gal, A Gretton, J Dambre
Advances in Neural Information Processing Systems 31, 2018
Diego de las Casas
J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ...
Developing an embodied gait on a compliant quadrupedal robot
J Degrave, K Caluwaerts, J Dambre, F Wyffels
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Classifying plankton with deep neural networks, 2015
S Dieleman, A van den Oord, I Korshunova, J Burms, J Degrave, L Pigou, ...
URL http://benanne. github. io/2015/03/17/plankton. html, 2015
Transfer learning of gaits on a quadrupedal robot
J Degrave, M Burm, PJ Kindermans, J Dambre, F Wyffels
Adaptive Behavior 23 (2), 69-82, 2015
Terrain classification for a quadruped robot
J Degrave, R Van Cauwenbergh, F Wyffels, T Waegeman, B Schrauwen
2013 12th International Conference on Machine Learning and Applications 1 …, 2013
Local search for policy iteration in continuous control
JT Springenberg, N Heess, D Mankowitz, J Merel, A Byravan, ...
arXiv preprint arXiv:2010.05545, 2020
PLXTRM: Prediction-Led eXtended-guitar Tool for Real-time Music applications and live performance
T Vets, J Degrave, L Nijs, F Bressan, M Leman
Journal of New Music Research 46 (2), 187-200, 2017
Resolving multi-proxy transitive vote delegation
J Degrave
arXiv preprint arXiv:1412.4039, 2014
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