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Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards.
Mitchel Alioscha-Pérez
Abel Díaz Berenguer
Ercheng Pei
Meshia Cédric Oveneke
Hichem Sahli
Published in:
ICAIIC (2020)
Keyphrases
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black box
reinforcement learning
neural architecture
search algorithm
white box
black boxes
search space
markov decision processes
test cases
feed forward
learning algorithm
high dimensional
neural network
integration testing
white box testing
state space
general purpose
supervised learning
dynamic programming