Matthias Hutsebaut-Buysse

According to our database, Matthias Hutsebaut-Buysse authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Thomas Avé, Matthias Hutsebaut-Buysse, Wei Wei, Kevin Mets

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

2023

Directed Real-World Learned Exploration.

Matthias Hutsebaut-Buysse, Ferran Gebelli Guinjoan, Erwin Rademakers, Steven Latré, Abdellatif Bey-Temsamani, Kevin Mets, Erik Mannens, Tom De Schepper

IROS, 2023

2022

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges.

Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré

Mach. Learn. Knowl. Extr., 2022

Structured Exploration Through Instruction Enhancement for Object Navigation.

Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré

CoRR, 2022

2021

Disagreement Options: Task Adaptation Through Temporally Extended Actions.

Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré

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.

Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré

CoRR, 2020

Language Grounded Task-Adaptation in Reinforcement Learning.

Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré

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

2019

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

Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré

CoRR, 2019