17 citations · 57 across the 16 of their papers we have counts for
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cs.LG2020★ 1 cited
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory
Jakob Struye, Kevin Mets, Steven Latré
Building Reinforcement Learning (RL) algorithms which are able to adapt to continuously evolving tasks is an open research challenge. One technology that is known to inherently han…
cs.LG2020★ 2 cited
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…