Research map / Learning theory and algorithms / Submodular and game algorithms
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Adapt screening decisions to each passenger arrival rather than using a static policy within a time window | Threat Screening Game · Airport passenger screening | average delay: 25% on average; 100% in the best case | Helped |
| Relax the allowed risk threshold | Online TSG-RL · Airport passenger screening | average delay | Helped |
| Increase the variance of passenger arrivals | Online TSG-RL compared with time-window solutions · Airport passenger screening | delay improvement over time-window solutions | Hurt |
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