Luu Luna

Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility (https://www.readytensor.ai/). Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Barrett's start in operations logistics [02:27]
• Concorde Solver and the traveling salesperson problem [09:59]
• Cross-function approximation explained [19:13]
• How Markov decision processes relate to deep reinforcement learning [26:08]
• Understanding policy in decision-making contexts [33:40]
• Revolutionizing supply chains and transportation with aerial drones [46:47]
• Barrett’s career evolution: past changes and future prospects [52:19]

Additional materials: www.superdatascience.com/773

The Super Data Science Podcast: Machine Learning | AI | Success

773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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