Proposes max-plus algebra framework to approximate optimal value functions in deterministic MDPs via fixed dictionaries (complexity tied to covering numbers) and adaptive matching-pursuit style bases (empirically effective but without guarantees).
A Wavelet Tour of Signal Processing: the Sparse Way
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Max-Plus Matching Pursuit for Deterministic Markov Decision Processes
Proposes max-plus algebra framework to approximate optimal value functions in deterministic MDPs via fixed dictionaries (complexity tied to covering numbers) and adaptive matching-pursuit style bases (empirically effective but without guarantees).