2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

How to Optimize Your Ride-Sharing

The car could have two states. Like it could either have already people in the car and given destination where to go, or it could be completely empty. So you have to make a decision about who you want to onboard. And obviously, if you onboard a given person, a given client, then you have to take that person to destination. You do this progressively given the capacity that you have left. In a situation like ride-sharing, typical metric that you're trying to optimize for is the total number of passengers you're onboarding. For example, if an open street map tells you that you could deliver that person in five minutes, if you delivering that person in seven minutes, then

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