AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper shows that a single algorithm achieves $\widetilde{\mathcal{O}}(\sqrt{(S+1)KT})$ expected regret for every $S$ against an oblivious adversary, resolving an open problem of Auer et al.
The upper bound for the expert problem is achieved by a corrected variant of Hedge, in which carefully designed correction terms cancel the unfavorable curvature arising in the alternating-regret analysis, and the same corrected-potential argument is extended to continuous action sets to obtain the optimal alternating-...
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