Matthias Hutsebaut-Buysse

Mach. Learn., November, 2025

Reducing the stability gap for continual learning at the edge with class balancing.

[BibT_eX]

[DOI]

Wei Wei

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024

Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning.

[BibT_eX]

[DOI]

Thomas Avé

Wei Wei

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Directed Real-World Learned Exploration.

[BibT_eX]

[DOI]

Ferran Gebelli Guinjoan

Erwin Rademakers

Abdellatif Bey-Temsamani

Erik Mannens

IROS, 2023

2022

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2022

Structured Exploration Through Instruction Enhancement for Object Navigation.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Disagreement Options: Task Adaptation Through Temporally Extended Actions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Language Grounded Task-Adaptation in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning.

[BibT_eX]

[DOI]