Super Data Science: ML & AI Podcast with Jon Krohn cover image

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

Super Data Science: ML & AI Podcast with Jon Krohn

CHAPTER

Understanding Policy in Reinforcement Learning

The chapter explains the concept of 'policy' in reinforcement learning as a mapping from state to action, using relatable examples. It also explores how reinforcement learning applies to optimizing logistics, using neural nets for Q-learning, and tackling decision-making complexity in a food delivery service to maximize freshness.

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