Research map / Bandits and online learning / Online convex optimization and games
Online Pandora’s Boxes and Bandits
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a threshold-based prophet-inequality policy after reducing costs to zero-cost capped prizes | Online Pandora's box under matching feasibility constraints · General online Pandora's box | approximation ratio: preserves the approximation factor | Helped |
| Use the single-prize threshold policy | Online Pandora's box · Unconstrained opening, exactly one prize kept | approximation ratio: 1/2 | Helped |
| Apply the prophet-inequality reduction for a cardinality constraint | Online k-Pandora's box · At most k prizes kept | approximation ratio: 1-\frac{1}{\sqrt{k+3}} | Helped |
| Apply the prophet-inequality reduction for a knapsack constraint | Online knapsack Pandora's box · Knapsack feasibility | approximation ratio: 1/5 | Helped |
| Apply the prophet-inequality reduction for a matroid constraint | Online matroid Pandora's box · Matroid feasibility | approximation ratio: 1/2 | Helped |
| Use per-type thresholds for prize acceptance | Online multi-arm Pandora's box · Multi-arm problem with one opening allowed per round | approximation ratio: 2-approximation | Helped |
Closest papers by meaning
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