Herke van Hoof
Title
Cited by
Cited by
Year
Addressing Function Approximation Error in Actor-Critic Methods
S Fujimoto, H van Hoof, D Meger
arXiv preprint arXiv:1802.09477, 2018
5952018
Attention, Learn to Solve Routing Problems!
W Kool, H van Hoof, M Welling
arXiv preprint arXiv:1803.08475, 2018
1562018
Learning Robot In-Hand Manipulation with Tactile Features
H van Hoof, T Hermans, G Neumann, J Peters
892015
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
832015
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
762016
Probabilistic inference for determining options in reinforcement learning
C Daniel, H Van Hoof, J Peters, G Neumann
Machine Learning 104 (2-3), 337-357, 2016
762016
Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments
H van Hoof, O Kroemer, J Peters
IEEE Transactions on Robotics, 2014
642014
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
602015
BanditSum: Extractive Summarization as a Contextual Bandit
Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung
arXiv preprint arXiv:1809.09672, 2018
572018
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
452016
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
402014
Maximally Informative Interaction Learning for Scene Exploration
H van Hoof, O Kroemer, HB Amor, J Peters
Intelligent Robots and Systems, 2012
392012
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
382015
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
W Kool, H van Hoof, M Welling
arXiv preprint arXiv:1903.06059, 2019
342019
Policy Search For Learning Robot Control Using Sparse Data
B Bischoff, D Nguyen-Tuong, H van Hoof, A McHutchon, CE Rasmussen, ...
International Conference on Robotics and Automation, 2014
182014
Non-parametric policy search with limited information loss
H Van Hoof, G Neumann, J Peters
The Journal of Machine Learning Research 18 (1), 2472-2517, 2017
162017
Attention solves your TSP, approximately
W Kool, H van Hoof, M Welling
stat 1050, 22, 2018
152018
An inference-based policy gradient method for learning options
M Smith, H Hoof, J Pineau
International Conference on Machine Learning, 4703-4712, 2018
142018
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
W Kool, H van Hoof, M Welling
arXiv preprint arXiv:2002.06043, 2020
132020
Buy 4 REINFORCE Samples, Get a Baseline for Free!
W Kool, H van Hoof, M Welling
112019
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