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Sufficient Exploration for Convex Q-learning
The main contributions follow: (i) The dual of convex Q-learning is not precisely Manne's LP or a version of logistic Q-learning, but has similar structure that reveals the need for regularization to avoid over-fitting.
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
Neuro-dynamic programming is a class of powerful techniques for approximating the solution to dynamic programming equations.
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