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10min chapter
773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas
Super Data Science: ML & AI Podcast with Jon Krohn
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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