Research map / Multi-agent systems and games / Games and equilibria
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MCTS to dynamically optimize reserve prices over time | Baidu sponsored search auctions · Baidu sponsored search simulation, 120 days | revenue | Helped |
| Replace MCTS with GREEDY reserve-price adjustments | Baidu sponsored search auctions · Baidu sponsored search simulation, 120 days | revenue | Hurt |
| Change reserve prices daily rather than less frequently (ablation) | Reinforcement mechanism design · Baidu sponsored search simulation | revenue: The revenue of Δt=7 is about several percent small than that of Δt=1 | Mixed |
| Change reserve prices every 3 days instead of using GREEDY (ablation) | Reinforcement mechanism design · Baidu sponsored search simulation | revenue | No clear effect |
| Increase the interval between reserve-price changes (ablation) | Reinforcement mechanism design · Baidu sponsored search simulation | convergence speed | Helped |
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