Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (CoRR, 2019)

Language Grounded Task-Adaptation in Reinforcement Learning. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (ESANN, 2020)

Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (CoRR, 2020)

Disagreement Options: Task Adaptation Through Temporally Extended Actions. - Matthias Hutsebaut-Buysse; Tom De Schepper; Kevin Mets; Steven Latré (ECML/PKDD (1), 2021)

Structured Exploration Through Instruction Enhancement for Object Navigation. - Matthias Hutsebaut-Buysse; Kevin Mets; Tom De Schepper; Steven Latré (CoRR, 2022)

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (Mach. Learn. Knowl. Extr., 2022)

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)

Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning. - Thomas Avé; Matthias Hutsebaut-Buysse; Wei Wei; Kevin Mets (ESANN, 2024)