Research map / Multi-agent systems and games / Games and equilibria
OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use OPRADI instead of Stackelberg Strategy | checkpoint placement on a 3×3 grid map · 3×3 grid map | defender cumulative payoff: 392.12 ± 5.66 -> 565.81 ± 8.64 | Helped |
| Use OPRADI instead of Random Strategy | checkpoint placement on a 3×3 grid map · 3×3 grid map | defender cumulative payoff: 337.59 ± 31.59 -> 565.81 ± 8.64 | Helped |
| Use OPRADI instead of Common Strategy | checkpoint placement on a 3×3 grid map · 3×3 grid map | defender cumulative payoff: 207.62 ± 1.01 -> 565.81 ± 8.64 | Helped |
| Use OPRADI instead of Stackelberg Strategy | checkpoint placement on the Chiping map without empirical data · Chiping map, no empirical data | defender expected payoff: 103.14 -> 108.57 | Helped |
| Use OPRADI instead of Random Strategy | checkpoint placement on the Chiping map without empirical data · Chiping map, no empirical data | defender expected payoff: 100.59 -> 108.57 | Helped |
| Use OPRADI instead of Common Strategy | checkpoint placement on the Chiping map without empirical data · Chiping map, no empirical data | defender expected payoff: 86.62 -> 108.57 | Helped |
| Use OPRADI instead of Random Strategy | checkpoint placement using reconstructed Chiping data · Chiping reconstructed real-world context | defender expected payoff: 88.33 -> 112.59; 27.46% improvement | Helped |
| Use OPRADI instead of the police's Current Strategy | checkpoint placement using reconstructed Chiping data · Chiping reconstructed real-world context | defender payoff: 30 -> 112.59; 2.75 times higher | Helped |
| Deploy OPRADI-recommended checkpoint strategies instead of the police's fixed-location strategy | Chiping DUI inspections · Chiping preliminary deployment | DUI drivers caught: 58 -> 133 | Helped |
Closest papers by meaning
- When Can the Defender Effectively Deceive Attackers in Security Games? (AAAI 2022 · similarity 0.81)
- Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies (AAAI 2023 · similarity 0.80)
- Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information (AAAI 2019 · similarity 0.80)
- GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms (NeurIPS 2025 · similarity 0.80)
- Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving (NeurIPS 2025 · similarity 0.78)
- Regret Minimization in Stackelberg Games with Side Information (NeurIPS 2024 · similarity 0.77)
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