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2020 Q Learning Theory and Applications by japanvn is a document available to read on EtoBox.

What is 2020 Q Learning Theory and Applications about?

The document discusses Q-learning, a reinforcement learning method used for optimal sequential decision-making, particularly in personalized medicine and mobile health. It reviews the history of Q-learning, formalizes finite-horizon Q-learning within the potential outcomes framework, and addresses inferential challenges. The article also explores infinite-horizon Q-learning, practical applications, and the integration of Q-learning with direct-search methods and model-based approaches.

Author

japanvn

Language

EN