Sökning: "Isac Arnekvist"

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1. 1. Transfer Learning using low-dimensional Representations in Reinforcement Learning

   Författare :Isac Arnekvist; Danica Kragic; Johannes Andreas Stork; Christos Dimitrakakis; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

   Sammanfattning : Successful learning of behaviors in Reinforcement Learning (RL) are often learned tabula rasa, requiring many observations and interactions in the environment. Performing this outside of a simulator, in the real world, often becomes infeasible due to the large amount of interactions needed. LÄS MER