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0111 · Jul 201819922001200920182026
1 result for TUCRL

TUCRL efficiently explores and exploits in non-communicating MDPs without prior knowledge.

problem Efficient exploration-exploitation in non-communicating Markov Decision Processes (MDPs).
method Introduces TUCRL, the first algorithm for efficient exploration-exploitation in any finite MDP without prior knowledge.
result Derives a O~(DextttCΓextttCSextttCAT)\widetilde{O}(D^{ exttt{C}} \sqrt{Γ^{ exttt{C}} S^{ exttt{C}} AT}) regret bound for weakly-communicating MDPs.