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Author

Herke van Hoof

Observed names: H. van Hoof, Herke Hoof, Herke Van Hoof, Herke van Hoof, Hoof, H. van, Hoof, Herke Van, Hoof, Herke van, Van Hoof, Herke, van Hoof, H., van Hoof, Herke
Observed institutions: University of Hertfordshire, Technische Universität Darmstadt, Centre Universitaire de Mila, Mila - Quebec Artificial Intelligence Institute, McGill University, Université de Montréal, University of Amsterdam
ORCID: 0000-0002-1583-3692
Observed ORCID: 0000-0002-1583-3692
OpenAlex ID: A5057277609
Addressing Function Approximation Error in Actor-Critic Methods
2018 · Fujimoto, Scott, van Hoof, Herke, et al. · arXiv (Cornell University) · 4,126
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Attention, Learn to Solve Routing Problems!
2018 · Kool, Wouter, van Hoof, Herke, et al. · UvA-DARE (University of Amsterdam) · 1,359
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence
2020 · Zeynep Akata, Dan Balliet, et al. · Computer · 500
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Addressing Function Approximation Error in Actor-Critic Methods
2018 · Scott Fujimoto, Herke van Hoof, et al. · UvA-DARE (University of Amsterdam) · 407
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BanditSum: Extractive Summarization as a Contextual Bandit
2018 · Yue Dong, Yikang Shen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 173
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Learning robot in-hand manipulation with tactile features
2015 · Herke van Hoof, Tucker Hermans, et al. · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · 161
Deep Policy Dynamic Programming for Vehicle Routing Problems
2022 · Wouter Kool, Herke van Hoof, et al. · Lecture notes in computer science · 152
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Stable reinforcement learning with autoencoders for tactile and visual data
2016 · Herke van Hoof, Nutan Chen, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 149
A Survey of Exploration Methods in Reinforcement Learning
2021 · Amin, Susan, Gomrokchi, Maziar, et al. · arXiv (Cornell University) · 117
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Towards learning hierarchical skills for multi-phase manipulation tasks
2015 · Oliver Kroemer, Christian Daniel, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 113
Stabilizing novel objects by learning to predict tactile slip
2015 · Filipe Veiga, Herke van Hoof, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 112
Active tactile object exploration with Gaussian processes
2016 · Zhengkun Yi, Roberto Calandra, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 101
Probabilistic inference for determining options in reinforcement learning
2016 · Christian Daniel, Herke van Hoof, et al. · Machine Learning · 95
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Keeping Dataset Biases out of the Simulation
2020 · Jin Huang, Harrie Oosterhuis, et al. · ACM Conference on Recommender Systems (RecSys) · 70
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
2019 · Kool, Wouter, van Hoof, Herke, et al. · arXiv (Cornell University) · 67
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Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments
2014 · Herke van Hoof, Oliver Kroemer, et al. · IEEE Transactions on Robotics · 66
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
2020 · van der Pol, Elise, Worrall, Daniel E., et al. · UvA-DARE (University of Amsterdam) · 54
Learning to predict phases of manipulation tasks as hidden states
2014 · Oliver Kroemer, Herke van Hoof, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 49
Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator
2021 · Shihan Wang, Chao Zhang, et al. · Journal of Medical Systems · 40
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Maximally informative interaction learning for scene exploration
2012 · Herke van Hoof, Oliver Kroemer, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 39
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
2020 · Kool, Wouter, van Hoof, Herke, et al. · arXiv (Cornell University) · 35
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BanditSum: Extractive Summarization as a Contextual Bandit
2018 · Dong, Yue, Shen, Yikang, et al. · arXiv (Cornell University) · 34
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Human-AI interaction in safety-critical network infrastructures
2025 · Marco Mussi, Alberto Maria Metelli, et al. · iScience · 33
Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application: A Feasibility Study
2021 · Shihan Wang, Karlijn Sporrel, et al. · International Journal of Environmental Research and Public Health · 32
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Experimental design for MRI by greedy policy search
2020 · Bakker, Tim, van Hoof, Herke, et al. · arXiv (Cornell University) · 28
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Works count: 98
Citation count: 8,561
H-index: 27
I10-index: 42
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