Search Results - "Mets, Kevin"

Learning to communicate using a communication critic and counterfactual reasoning.

Authors: Vanneste, Simon Vanneste, Astrid Mets, Kevin et al.

Source: Neural Computing & Applications; Nov2025, Vol. 37 Issue 31, p25645-25662, 18p

An in-depth analysis of discretization methods for communication learning using backpropagation with multi-agent reinforcement learning.

Authors: Vanneste, Astrid Vanneste, Simon De Schepper, Tom et al.

Source: Neural Computing & Applications; May2026, Vol. 38 Issue 10, p1-23, 23p

Scalable reinforcement learning-based neural architecture search.

Authors: Cassimon, Amber Mercelis, Siegfried Mets, Kevin

Source: Neural Computing & Applications; Jan2025, Vol. 37 Issue 1, p231-261, 31p

Temporal distillation: compressing a policy in space and time.

Authors: Avé, Thomas Hutsebaut-Buysse, Matthias Mets, Kevin

Source: Machine Learning; Nov2025, Vol. 114 Issue 11, p1-27, 27p

GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem.

Authors: Bagot, Louis D'eer, Lynn Latré, Steven et al.

Source: Neural Computing & Applications; Aug2025, Vol. 37 Issue 23, p18989-19007, 19p

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges.

Authors: Hutsebaut-Buysse, Matthias Mets, Kevin Latré, Steven

Source: Machine Learning & Knowledge Extraction; Mar2022, Vol. 4 Issue 1, p172-221, 50p

Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices.

Authors: Avé, Thomas De Schepper, Tom Mets, Kevin

Source: Sensors (14248220). Aug2024, Vol. 24 Issue 15, p4876. 22p.

Feasibility of 100% renewable energy-based electricity production for cities with storage and flexibility.

Authors: Narayanan, Arun Mets, Kevin Strobbe, Matthias et al.

Source: Renewable Energy: An International Journal. Apr2019, Vol. 134, p698-709. 12p.

Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review.

Authors: Deprez, Bruno Wei, Wei Verbeke, Wouter et al.

Source: WIREs: Computational Statistics. Sep2025, Vol. 17 Issue 3, p1-28. 28p.

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.

Authors: Soto, Paola Camelo, Miguel Mets, Kevin et al.

Source: Sensors (14248220). Jul2021, Vol. 21 Issue 13, p4321-4321. 1p.