Ann Nowé

Vrije Universiteit Brussel — Belgium

Computer Science · Physical Sciences

42h-index8.4kcitations619works1.32yr avg
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Research Topics

Reinforcement Learning in Robotics(140), Evolutionary Algorithms and Applications(41), Advanced Multi-Objective Optimization Algorithms(40), Optimization and Search Problems(40), Game Theory and Applications(39)

Publications618 total

Sensor-Error-Robust Normal Behavior Modeling for Wind Turbine Failure Prediction Using a Masked Autoencoder
2025Open Access
A Three-level Framework for LLM-enhanced Explainable AI: From Technical Explanations to Natural Language
Information Systems Frontiers·2025Open Access
Multi-objective reinforcement learning for provably incentivising alignment with value systems
Artificial Intelligence·2025· 1 citedOpen Access
Explainable RL Policies by Distilling to Locally-Specialized Linear Policies with Voronoi State Partitioning
arXiv (Cornell University)·2025Open Access
Scalable SCADA-driven failure prediction for offshore wind turbines using autoencoder-based NBM and fleet-median filtering
Wind energy science·2025Open Access
Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings
arXiv (Cornell University)·2025Open Access
Day-ahead trading and power control for hybrid wind-hydrogen plants with multi-agent reinforcement learning
Applied Energy·2025· 2 cited
Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout
2025Open Access
A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data
Energies·2025Open Access
Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025· 1 citedOpen Access
Collective Intelligence in Decision-Making with Non-Stationary Experts
Journal of Artificial Intelligence Research·2025Open Access
Congestion-Aware Multi-Agent Path Planning for Pick-Up and Delivery Tasks
Proceedings of the Genetic and Evolutionary Computation Conference·2025
Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data
Wind energy science·2025· 6 citedOpen Access
Optimal day-ahead trading and power control for a hybrid wind-hydrogen plant with multi-agent reinforcement learning
Journal of Physics Conference Series·2025Open Access
Scalable SCADA-driven Failure Prediction for Offshore Wind Turbines Using Autoencoder-Based NBM and Fleet-Median Filtering
2025· 1 citedOpen Access
Power Prediction in Offshore Wind Farms using Transferable Multi-Task Graph Neural Networks
Journal of Physics Conference Series·2025Open Access
Modular deep learning approach for wind farm power forecasting and wake loss prediction
Wind energy science·2025· 3 citedOpen Access
Reinforcement Learning for Model-Free Control of a Cooling Network with Uncertain Future Demands
2025Open Access
Day-Ahead Trading and Power Control for Hybrid Wind-Hydrogen Plants with Multi-Agent Reinforcement Learning
SSRN Electronic Journal·2025Open Access
Automated Behavior Planning for Fruit Tree Pruning via Redundant Robot Manipulators: Addressing the Behavior Planning Challenge
IEEE Robotics & Automation Magazine·2025Open Access
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Frequent Co-authors

Peter Vrancx(7), Cosmin Lazar(6), Jonatan Taminau(6), Stijn Meganck(6), Tom Lenaerts(6), David Steenhoff(5), Alain Coletta(5), Colin Molter(5), Robin Duqué(5), Hugues Bersini(5), Kristof Van Moffaert(5), Tim Brys(5), Anna Harutyunyan(5), Matthew E. Taylor(5), Karl Tuyls(5), Virginie de Schaetzen(4), Timothy Verstraeten(4), Mihail Mihaylov(4), Katja Verbeeck(4), Mădălina M. Drugan(3)