Mets, Kevin

9 publications

L4DC 2025 Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning Arne Troch, Kevin Mets, Siegfried Mercelis

TMLR 2025 Successor Clusters: A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning Louis Bagot, Lucas Nunes Alegre, Steven Latre, Kevin Mets, Bruno Castro da Silva

MLJ 2025 Temporal Distillation: Compressing a Policy in Space and Time Thomas Avé, Matthias Hutsebaut-Buysse, Kevin Mets

CVPRW 2024 Dataset Condensation with Latent Quantile Matching Wei Wei, Tom De Schepper, Kevin Mets

NeurIPSW 2022 Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment Louis Bagot, Kevin Mets, Tom De Schepper, Steven Latre

NeurIPSW 2022 Quantization-Aware Policy Distillation (QPD) Thomas Avé, Kevin Mets, Tom De Schepper, Steven Latre

ECML-PKDD 2021 Disagreement Options: Task Adaptation Through Temporally Extended Actions Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré

ICMLW 2020 Learning Intrinsically Motivated Options to Stimulate Policy Exploration Louis Bagot, Kevin Mets, Steven Latré

ICMLW 2020 Pre-Trained Word Embeddings for Goal-Conditional Transfer Learning in Reinforcement Learning Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré