2 citations · 4 across the 3 of their papers we have counts for
3 papers
Structured Exploration Through Instruction Enhancement for Object Navigation
Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper +1
Finding an object of a specific class in an unseen environment remains an unsolved navigation problem. Hence, we propose a hierarchical learning-based method for object navigation.…
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Reinforcement learning (RL) algorithms typically start tabula rasa, without any prior knowledge of the environment, and without any prior skills. This however often leads to low sa…
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Over its lifetime, a reinforcement learning agent is often tasked with different tasks. How to efficiently adapt a previously learned control policy from one task to another, remai…