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What is Optimize Ad CTR with Reinforcement Learning about?

This document describes a project to optimize advertisement click-through rates using reinforcement learning. The objectives are to clean and preprocess data, then use an Upper Confidence Bound model to optimize click-through rates. Testing showed the model could successfully make predictions and generate a histogram of ad selections. The results demonstrate the model was able to optimize click-through rates for an advertising company.

Author

Mandar Pande

Language

EN