Introduction to Reinforcement Learning - Databricks

Introduction to Reinforcement Learning

In this course you will learn Reinforcement learning theory and get hands-on practice. Upon completion of this course, you understand the difference between supervised, unsupervised, reinforcement learning, and understand Markov Decision Processes (MDPs). You will be able to formulate a reinforcement learning problem, and implement model-based RL, policy iteration, value iteration, and Monte-Carlo model-free prediction and control. This course is taught entirely in Python.



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