A Profit-Maximizing Reinforcement Learning-Based AI System in Python
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Published on 07/13/23 / In
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Dr. Soper provides a complete example of a profit-maximizing artificial intelligence system in Python that relies on Thompson Sampling-based reinforcement learning to decide which advertising campaign to show to a company's customers. Each part of the Python source code and the corresponding results are discussed in detail to ensure understanding.
Jupyter notebook for this lesson: https://colab.research.google.....com/drive/1JXRGh6c8n
Previous lesson (Reinforcement Learning: Thompson Sampling & The Multi Armed Bandit Problem - Part 02): https://youtu.be/lDtVuJKLykQ
Next lesson (Foundations of Q-Learning): https://youtu.be/__t2XRxXGxI
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