Compact and efficient encodings for planning in factored...

Artificial Intelligence 2020 / 08 Vol. 285

Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models

Say, Buser, Sanner, Scott
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Volume:
285
Journal:
Artificial Intelligence
DOI:
10.1016/j.artint.2020.103291
Date:
August, 2020
File:
PDF, 1.18 MB
2020
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