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# The Great Police Chase Crash: Why Artificial Intelligence Cannot Catch a Bank Robber

**[Medium](https://daily.dev/sources/medium_js)** · 5 min read · 1 upvotes · 0 comments

## Summary

Researchers from KDD 2026 introduce GraphChase, an open-source platform and benchmark for Urban Network Security Games — the problem of coordinating AI-controlled pursuers to intercept criminals escaping through city street networks. Current AI approaches fail due to two core issues: exponential path enumeration that causes memory crashes on grids larger than 20x20 streets, and training on unweighted (flat) graphs that ignore realistic travel times. GraphChase addresses both by providing real urban topologies from OpenStreetMap (Manhattan, Mumbai, Singapore), weighted road networks with continuous time budgets, and step-by-step policy execution that eliminates the need to pre-enumerate all paths. The platform decouples the game environment from the solver algorithm to standardize evaluation and prevent researchers from gaming simplified environments.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@aibj_tech/the-great-police-chase-crash-why-artificial-intelligence-cannot-catch-a-bank-robber-4f8ffa7ac0f5>

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Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

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