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Tags
#reinforcement-learning
Question
What is the main insight forming USFAs from UVFAs and SFs?
Answer
"The main insight is actually simple: since SFs are multi-dimensional value functions, we can extend them in the same way as universal value functions extend regular value functions."

Tags
#reinforcement-learning
Question
What is the main insight forming USFAs from UVFAs and SFs?
Answer
?

Tags
#reinforcement-learning
Question
What is the main insight forming USFAs from UVFAs and SFs?
Answer
"The main insight is actually simple: since SFs are multi-dimensional value functions, we can extend them in the same way as universal value functions extend regular value functions."
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SF&GPI are in some sense complementary. It is then natural to ask if we can simultaneously have the two types of generalisation. In this paper we propose a model that provides exactly that. <span>The main insight is actually simple: since SFs are multi-dimensional value functions, we can extend them in the same way as universal value functions extend regular value functions. In the next section we elaborate on how exactly to do so. <span>

Original toplevel document (pdf)

owner: reseal - (no access) - Universal Successor Features Approximators, p4

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