Research map / Bandits and online learning / Online convex optimization and games
Competitive Analysis for Two-Level Ski-Rental Problem
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use two fixed purchase thresholds, λ∗s = Cs and λ∗c = (Cs − 1)/Cs Cc + 1 | DTSR · TLSR, adversarial input sequences | competitive ratio: 3−1/Cs | Helped |
| Randomize the purchase thresholds using the designed PMFs | RTSR · TLSR, adversarial input sequences | competitive ratio: eσ/(eσ − 1) | Helped |
| Use randomized rather than fixed thresholds | TLSR algorithms in stochastic simulations · Uniform sequences | cumulative normalized cost | Helped |
| Use randomized rather than fixed thresholds | TLSR algorithms in stochastic simulations · Mixed sequences | cumulative normalized cost | Helped |
| Use fixed thresholds instead of randomized thresholds | DTSR · Uniform stochastic sequences | cumulative normalized cost | Hurt |
Closest papers by meaning
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