Herke van Hoof
Title
Cited by
Cited by
Year
Addressing function approximation error in actor-critic methods
S Fujimoto, H Hoof, D Meger
International Conference on Machine Learning, 1587-1596, 2018
14162018
Attention, Learn to Solve Routing Problems!
W Kool, H van Hoof, M Welling
arXiv preprint arXiv:1803.08475, 2018
3542018
Learning Robot In-Hand Manipulation with Tactile Features
H van Hoof, T Hermans, G Neumann, J Peters
1192015
Stable reinforcement learning with autoencoders for tactile and visual data
H van Hoof, N Chen, M Karl, P van der Smagt, J Peters
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
1122016
BanditSum: Extractive Summarization as a Contextual Bandit
Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung
arXiv preprint arXiv:1809.09672, 2018
1052018
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks
O Kroemer, C Daniel, G Neumann, H van Hoof, J Peters
Proceedings of the International Conference on Robotics and Automation, 2015
992015
Probabilistic inference for determining options in reinforcement learning
C Daniel, H Van Hoof, J Peters, G Neumann
Machine Learning 104 (2), 337-357, 2016
942016
Stabilizing novel objects by learning to predict tactile slip
F Veiga, H Van Hoof, J Peters, T Hermans
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
762015
Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments
H van Hoof, O Kroemer, J Peters
IEEE Transactions on Robotics, 2014
722014
Stochastic beams and where to find them: The gumbel-top-k trick for sampling sequences without replacement
W Kool, H Van Hoof, M Welling
International Conference on Machine Learning, 3499-3508, 2019
712019
Active tactile object exploration with gaussian processes
Z Yi, R Calandra, F Veiga, H van Hoof, T Hermans, Y Zhang, J Peters
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
572016
Learning to Predict Phases of Manipulation Tasks as Hidden States
O Kroemer, H van Hoof, G Neumann, J Peters
IEEE International Conference on Robotics and Automation, 2014
432014
Maximally Informative Interaction Learning for Scene Exploration
H van Hoof, O Kroemer, HB Amor, J Peters
Intelligent Robots and Systems, 2012
422012
Learning of Non-Parametric Control Policies with High-Dimensional State Features
H van Hoof, J Peters, G Neumann
Proceedings of the Eighteenth International Conference on Artificial …, 2015
412015
A research agenda for hybrid intelligence: augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence
Z Akata, D Balliet, M De Rijke, F Dignum, V Dignum, G Eiben, A Fokkens, ...
Computer 53 (08), 18-28, 2020
272020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
W Kool, H van Hoof, M Welling
arXiv preprint arXiv:2002.06043, 2020
242020
Attention solves your TSP, approximately
W Kool, H van Hoof, M Welling
stat 1050, 22, 2018
242018
Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems
J Huang, H Oosterhuis, M de Rijke, H van Hoof
Fourteenth ACM Conference on Recommender Systems, 190-199, 2020
232020
An inference-based policy gradient method for learning options
M Smith, H Hoof, J Pineau
International Conference on Machine Learning, 4703-4712, 2018
232018
Mdp homomorphic networks: Group symmetries in reinforcement learning
E van der Pol, D Worrall, H van Hoof, F Oliehoek, M Welling
Advances in Neural Information Processing Systems 33, 2020
212020
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Articles 1–20