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Accelerating Quadratic Optimization with Reinforcement Learning.
Jeffrey Ichnowski
Paras Jain
Bartolomeo Stellato
Goran Banjac
Michael Luo
Francesco Borrelli
Joseph E. Gonzalez
Ion Stoica
Ken Goldberg
Published in:
CoRR (2021)
Keyphrases
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quadratic optimization
reinforcement learning
interior point methods
function approximation
state space
support vector machine
learning algorithm
natural images
transfer learning
computational complexity
dynamic programming
model selection
linear program
convex optimization