Application of curiosity driven exploration methods for hardware interference identification
This paper proposes the use of curiosity-driven exploration algorithms from artificial intelligence to systematically and efficiently cover the space of possible interference behaviors and shows that the proposed approach achieves broader and more uniform behavioral coverage within a limited experimental budget.
Ludovic Matar, Clément Moulin-Frier, P. Oudeyer
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