
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Reinforcement Learning in Logistics
This chapter explores the advanced application of reinforcement learning in logistics, showcasing its advantages over traditional algorithms. It discusses the integration of neural networks with planning algorithms while drawing parallels to human decision-making, emphasizing the need for businesses to adopt AI for enhanced efficiency.
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