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Research map / Learning theory and algorithms / Submodular and game algorithms

Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information

AAAI 2019 · Learning theory and algorithms › Submodular and game algorithms · approach: Opponent modeling and subgame solving · 20 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use real-time adversary location information instead of a time-dependent non-real-time strategyIGRS++ (NEST) · random grid networks and varied edge probabilitiesdefender utilityHelped
add tight upper bounds in the best-response oracle (IGRS vs IGRS-UB) (ablation)IGRS · random networks, running timeruntimeHelped
use the new lower-bound setting instead of old bounds (IGRS-UB vs IGRS+OldB) (ablation)IGRS · random networks, running timeruntimeHelped
add subgame strategy mapping and multiple best responses vs IGRS (ablation)IGRS · large random networksruntimeHelped
add multiple best responses against the same adversary strategy instead of sampled different strategies (ablation)IGRS++ · random networks, running timeruntimeHurt
increase time horizon tmaxIGRS++ · grid networksdefender utilityNo clear effect

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