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

EPISODE · Sep 25, 2019 · 43 MIN

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

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

Today we are joined by Karim Beguir, Co-Founder and CEO of InstaDeep, a company focusing on building advanced decision-making systems for the enterprise. In this episode, we focus on logistical problems that require decision-making in complex environments using deep learning and reinforcement learning. Karim explains the InstaDeep process and mindset, where they get their data sets, the efficiency of RL, heuristic vs learnability approaches and how explainability fits into the model.

Episode metadata supplied by the publisher feed · Published Sep 25, 2019

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

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This episode was published on September 25, 2019.

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