Proposes Bellman-sufficient state representations and information indices Y=χ(Ω) to organize sequential decision making with a conditional Bellman information-risk sandwich providing matching upper and lower complexity bounds.
Kakade, and Matthias Seeger
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Bellman-sufficient Information Complexity
Proposes Bellman-sufficient state representations and information indices Y=χ(Ω) to organize sequential decision making with a conditional Bellman information-risk sandwich providing matching upper and lower complexity bounds.