Herke van Hoof

99 papers A* 27A 11B 2Journal 48Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Unfairness of Multifactorial Bias in Recommendation. CoRR Masoud Mansoury, Jin Huang, Mykola Pechenizkiy, Herke van Hoof, Maarten de Rijke
2025	J	`jnl`	Bridge the Inference Gaps of Neural Processes via Expectation Maximization. CoRR Qi Wang, Marco Federici, Herke van Hoof
2025	A*	`conf`	Data Augmentation for Instruction Following Policies via Trajectory Segmentation. AAAI Niklas Höpner, Ilaria Tiddi, Herke van Hoof
2025	J	`jnl`	Data Augmentation for Instruction Following Policies via Trajectory Segmentation. CoRR Niklas Höpner, Ilaria Tiddi, Herke van Hoof
2025	A	`conf`	Making Universal Policies Universal. AAMAS Niklas Höpner, David Kuric, Herke van Hoof
2025	J	`jnl`	Making Universal Policies Universal. CoRR Niklas Höpner, David Kuric, Herke van Hoof
2024	A*	`conf`	Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. SIGIR Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024	J	`jnl`	Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. CoRR Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024	A	`conf`	Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. CIKM Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2024	J	`jnl`	Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. CoRR Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2024	A*	`conf`	Planning with a Learned Policy Basis to Optimally Solve Complex Tasks. ICAPS David Kuric, Guillermo Infante, Vicenç Gómez, Anders Jonsson, Herke van Hoof
2024	J	`jnl`	Planning with a Learned Policy Basis to Optimally Solve Complex Tasks. CoRR Guillermo Infante, David Kuric, Anders Jonsson, Vicenç Gómez, Herke van Hoof
2024	A	`conf`	Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. AAMAS Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
2023	A*	`conf`	Bridge the Inference Gaps of Neural Processes via Expectation Maximization. ICLR Qi Wang, Marco Federici, Herke van Hoof
2023	J	`jnl`	Editorial: Language, affordance and physics in robot cognition and intelligent systems. Frontiers Robotics AI Nutan Chen, Walterio W. Mayol-Cuevas, Maximilian Karl, Elie Aljalbout, Andy Zeng, Aurelio Cortese, Wolfram Burgard, Herke van Hoof
2023	J	`jnl`	Hierarchical Reinforcement Learning for Power Network Topology Control. CoRR Blazej Manczak, Jan Viebahn, Herke van Hoof
2023	—	`conf`	Learning Hierarchical Planning-Based Policies from Offline Data. ECML/PKDD (4) Jan Wöhlke, Felix Schmitt, Herke van Hoof
2023	—	`conf`	Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes. ECML/PKDD (1) Tim Bakker, Herke van Hoof, Max Welling
2023	J	`jnl`	Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes. CoRR Tim Bakker, Herke van Hoof, Max Welling
2023	J	`jnl`	Reusable Options through Gradient-based Meta Learning. Trans. Mach. Learn. Res. David Kuric, Herke van Hoof
2023	J	`jnl`	Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. CoRR Robert Tyler Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
2022	J	`jnl`	Calculus on MDPs: Potential Shaping as a Gradient. CoRR Erik Jenner, Herke van Hoof, Adam Gleave
2022	B	`conf`	Deep Policy Dynamic Programming for Vehicle Routing Problems. CPAIOR Wouter Kool, Herke van Hoof, Joaquim A. S. Gromicho, Max Welling
2022	J	`jnl`	Exposure-Aware Recommendation using Contextual Bandits. CoRR Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
2022	J	`jnl`	Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation. CoRR Alexander Long, Alan Blair, Herke van Hoof
2022	A*	`conf`	Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation. AAAI Alexander Long, Alan Blair, Herke van Hoof
2022	A*	`conf`	Learning Expressive Meta-Representations with Mixture of Expert Neural Processes. NeurIPS Qi Wang, Herke van Hoof
2022	A*	`conf`	Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods. IJCAI Niklas Höpner, Ilaria Tiddi, Herke van Hoof
2022	J	`jnl`	Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods. CoRR Niklas Höpner, Ilaria Tiddi, Herke van Hoof
2022	B	`conf`	Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. IJCNN Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely
2022	J	`jnl`	Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. CoRR Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely
2022	A*	`conf`	Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search. ICML Qi Wang, Herke van Hoof
2022	A*	`conf`	Multi-Agent MDP Homomorphic Networks. ICLR Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
2022	A*	`conf`	Neural Topological Ordering for Computation Graphs. NeurIPS Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi
2022	J	`jnl`	Neural Topological Ordering for Computation Graphs. CoRR Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan
2022	J	`jnl`	Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment. CoRR Tessa van der Heiden, Herke van Hoof, Efstratios Gavves, Christoph Salge
2022	J	`jnl`	Reusable Options through Gradient-based Meta Learning. CoRR David Kuric, Herke van Hoof
2022	A*	`conf`	Value Refinement Network (VRN). IJCAI Jan Wöhlke, Felix Schmitt, Herke van Hoof
2021	J	`jnl`	A Survey of Exploration Methods in Reinforcement Learning. CoRR Susan Amin, Maziar Gomrokchi, Harsh Satija, Herke van Hoof, Doina Precup
2021	J	`jnl`	Combining Reward Information from Multiple Sources. CoRR Dmitrii Krasheninnikov, Rohin Shah, Herke van Hoof
2021	A*	`conf`	Deep Coherent Exploration for Continuous Control. ICML Yijie Zhang, Herke van Hoof
2021	J	`jnl`	Deep Policy Dynamic Programming for Vehicle Routing Problems. CoRR Wouter Kool, Herke van Hoof, Joaquim A. S. Gromicho, Max Welling
2021	A*	`conf`	Hierarchies of Planning and Reinforcement Learning for Robot Navigation. ICRA Jan Wöhlke, Felix Schmitt, Herke van Hoof
2021	J	`jnl`	Hierarchies of Planning and Reinforcement Learning for Robot Navigation. CoRR Jan Wöhlke, Felix Schmitt, Herke van Hoof
2021	J	`jnl`	Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models. CoRR Qi Wang, Herke van Hoof
2021	J	`jnl`	Multi-Agent MDP Homomorphic Networks. CoRR Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
2021	J	`jnl`	Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator. J. Medical Syst. Shihan Wang, Chao Zhang, Ben J. A. Kröse, Herke van Hoof
2020	A	`conf`	A Performance-Based Start State Curriculum Framework for Reinforcement Learning. AAMAS Jan Wöhlke, Felix Schmitt, Herke van Hoof
2020	J	`jnl`	A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
2020	J	`jnl`	An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques. CoRR Joris Mollinga, Herke van Hoof
2020	J	`jnl`	Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement. J. Mach. Learn. Res. Wouter Kool, Herke van Hoof, Max Welling
2020	A*	`conf`	Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables. ICML Qi Wang, Herke van Hoof
2020	J	`jnl`	Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables. CoRR Qi Wang, Herke van Hoof
2020	A*	`conf`	Estimating Gradients for Discrete Random Variables by Sampling without Replacement. ICLR Wouter Kool, Herke van Hoof, Max Welling
2020	J	`jnl`	Estimating Gradients for Discrete Random Variables by Sampling without Replacement. CoRR Wouter Kool, Herke van Hoof, Max Welling
2020	A*	`conf`	Experimental design for MRI by greedy policy search. NeurIPS Tim Bakker, Herke van Hoof, Max Welling
2020	J	`jnl`	Experimental design for MRI by greedy policy search. CoRR Tim Bakker, Herke van Hoof, Max Welling
2020	A	`conf`	Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. RecSys Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof
2020	A*	`conf`	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. NeurIPS Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. CoRR Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication. CoRR Tessa van der Heiden, Christoph Salge, Efstratios Gavves, Herke van Hoof
2020	—	`conf`	Social Navigation with Human Empowerment Driven Deep Reinforcement Learning. ICANN (2) Tessa van der Heiden, Florian Mirus, Herke van Hoof
2020	J	`jnl`	Social navigation with human empowerment driven reinforcement learning. CoRR Tessa van der Heiden, Christian Weiss, Naveen Shankar Nagaraja, Herke van Hoof
2019	—	`conf`	Attention, Learn to Solve Routing Problems! ICLR (Poster) Wouter Kool, Herke van Hoof, Max Welling
2019	—	`conf`	Buy 4 REINFORCE Samples, Get a Baseline for Free! DeepRLStructPred@ICLR Wouter Kool, Herke van Hoof, Max Welling
2019	A	`conf`	Deep Generative Modeling of LiDAR Data. IROS Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
2019	J	`jnl`	Reinforcement Learning with Non-uniform State Representations for Adaptive Search. CoRR Sandeep Manjanna, Herke van Hoof, Gregory Dudek
2019	—	`conf`	Stochastic Activation Actor Critic Methods. ECML/PKDD (3) Wenling Shang, Douwe van der Wal, Herke van Hoof, Max Welling
2019	A*	`conf`	Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement. ICML Wouter Kool, Herke van Hoof, Max Welling
2019	J	`jnl`	Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement. CoRR Wouter Kool, Herke van Hoof, Max Welling
2019	A*	`conf`	Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. ICRA Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger
2019	J	`jnl`	Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. CoRR Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger
2019	J	`jnl`	Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. CoRR Sanjay Thakur, Herke van Hoof, Gunshi Gupta, David Meger
2018	A*	`conf`	Addressing Function Approximation Error in Actor-Critic Methods. ICML Scott Fujimoto, Herke van Hoof, David Meger
2018	J	`jnl`	Addressing Function Approximation Error in Actor-Critic Methods. CoRR Scott Fujimoto, Herke van Hoof, David Meger
2018	A*	`conf`	An Inference-Based Policy Gradient Method for Learning Options. ICML Matthew J. A. Smith, Herke van Hoof, Joelle Pineau
2018	A*	`conf`	BanditSum: Extractive Summarization as a Contextual Bandit. EMNLP Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung
2018	J	`jnl`	BanditSum: Extractive Summarization as a Contextual Bandit. CoRR Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung
2018	J	`jnl`	Deep Generative Modeling of LiDAR Data. CoRR Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
2018	A*	`conf`	Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control. ICRA Victor Barbaros, Herke van Hoof, Abbas Abdolmaleki, David Meger
2018	—	`conf`	Policy Search on Aggregated State Space for Active Sampling. ISER Sandeep Manjanna, Herke van Hoof, Gregory Dudek
2018	—	`conf`	Reinforcement Learning with Non-uniform State Representations for Adaptive Search. SSRR Sandeep Manjanna, Herke van Hoof, Gregory Dudek
2017	J	`jnl`	Generalized exploration in policy search. Mach. Learn. Herke van Hoof, Daniel Tanneberg, Jan Peters
2017	J	`jnl`	Non-parametric Policy Search with Limited Information Loss. J. Mach. Learn. Res. Herke van Hoof, Gerhard Neumann, Jan Peters
2017	A*	`conf`	Policy Search with High-Dimensional Context Variables. AAAI Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
2016	A	`conf`	Active tactile object exploration with Gaussian processes. IROS Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters
2016	—	`—`	Machine learning through exploration for perception-driven robotics = Machinelles Lernen in der Perzeptions-basierte Robotik. Herke van Hoof
2016	J	`jnl`	Policy Search with High-Dimensional Context Variables. CoRR Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
2016	J	`jnl`	Probabilistic inference for determining options in reinforcement learning. Mach. Learn. Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann
2016	A	`conf`	Stable reinforcement learning with autoencoders for tactile and visual data. IROS Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters
2015	A	`conf`	Learning of Non-Parametric Control Policies with High-Dimensional State Features. AISTATS Herke van Hoof, Jan Peters, Gerhard Neumann
2015	—	`conf`	Learning robot in-hand manipulation with tactile features. Humanoids Herke van Hoof, Tucker Hermans, Gerhard Neumann, Jan Peters
2015	A	`conf`	Stabilizing novel objects by learning to predict tactile slip. IROS Filipe Veiga, Herke van Hoof, Jan Peters, Tucker Hermans
2015	A*	`conf`	Towards learning hierarchical skills for multi-phase manipulation tasks. ICRA Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters
2014	A*	`conf`	Learning to predict phases of manipulation tasks as hidden states. ICRA Oliver Kroemer, Herke van Hoof, Gerhard Neumann, Jan Peters
2014	A*	`conf`	Policy search for learning robot control using sparse data. ICRA Bastian Bischoff, Duy Nguyen-Tuong, Herke van Hoof, Andrew McHutchon, Carl E. Rasmussen, Alois C. Knoll, Jan Peters, Marc Peter Deisenroth
2014	J	`jnl`	Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments. IEEE Trans. Robotics Herke van Hoof, Oliver Kroemer, Jan Peters
2013	—	`conf`	Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments. Humanoids Herke van Hoof, Oliver Kroemer, Jan Peters
2012	A	`conf`	Maximally informative interaction learning for scene exploration. IROS Herke van Hoof, Oliver Kroemer, Heni Ben Amor, Jan Peters