Description

Master the Concepts of Reinforcement Learning. Implement a complete RL solution and understand how to apply AI tools to solve real-world problems.
What you’ll learn

   Build a Reinforcement Learning system for sequential decision making.
   Understand the space of RL algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, and more).
   Understand how to formalize your task as a Reinforcement Learning problem, and how to begin implementing a solution.
   Understand how RL fits under the broader umbrella of machine learning, and how it complements deep learning, supervised and unsupervised learning

Last Updated 6/2023