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4min chapter
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Gaps in Deep Learning and Machine Learning Approaches
In logistics, you have multiple problems that require making decisions in a complex environment. And one of the ways to do that is actually to train a modern AI system to look for good solutions. We're talking about problems that have a very large search space and can be NP-hard. So it also means that there is not an easy solution to solve them.
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