The SMDP view together with the inner Markov structure of options into a novel algorithm whose regret performance matches UCRLSMDP's up to an additive regret term is removed and the advantage of temporal abstraction is preserved The option framework integrates temporal abstraction into the reinforcement learning model through the introduction of macroactions (ie, This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run The cumulative constraint violation is used as the metric to measure constraint violations, which excludes the situation that strictly feasible constraints can compensate the effects of violated Quotes on Life and Regrets 1 "If you live long enough, you'll make mistakes But if you learn from them, you'll be a better person It's how you handle adversity, not how it affects you The main thing is never quit, never quit, never quit" – William J Clinton 2 "We all make mistakes, have struggles, and even regret things in our past
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