Research map / Learning theory and algorithms / Submodular and game algorithms
Convergence of Learning Dynamics in Information Retrieval Games
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the PRP mediator | Information retrieval authors games with exposure-targeted utility · Authors games (finite model) | better-response convergence to a pure Nash equilibrium | Helped |
| Use the PRP mediator | Information retrieval authors games with action-targeted utility · Authors games (finite model) | better-response convergence to a pure Nash equilibrium | Helped |
| Use the random mediator instead of a quality-based ranking | Authors games with exposure-targeted utility · Authors games (finite model) | finite improvement property | Helped |
| Use a continuous scoring mediator with f(1)>2 f(0) | Authors games with exposure-targeted utility · Constructed authors game | better-response convergence | Hurt |
| Use a continuous scoring mediator satisfying f(1)>2(2α−1) f(1/α) for some α>1 | Authors games with action-targeted utility · Constructed authors game | better-response convergence | Hurt |
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