Optimizes emergency response times
We have designed a decentralized reinforcement learning system and trained it using real emergency response call records
Decentralized systems are close to centrally discovered optimal solutions under a large range of conditions
Policies learned within decentralized systems are much more interpretable and explainable
Reinforcement Learning policies need to be trained on historical spatiotemporally indexed demand data for your application
System needs to be integrated with your dispatch or routing service
Needs brief pilot testing to establish real-world calibration of parameters