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cs.LG2016★ 150 cited
The Predictron: End-To-End Learning and Planning
David Silver, Hado van Hasselt, Matteo Hessel +8
One of the key challenges of artificial intelligence is to learn models that are effective in the context of planning. In this document we introduce the predictron architecture. Th…
cs.LG2016★ 86 cited
Learning values across many orders of magnitude
Hado van Hasselt, Arthur Guez, Matteo Hessel +2
Most learning algorithms are not invariant to the scale of the function that is being approximated. We propose to adaptively normalize the targets used in learning. This is useful…