Reinforcement Learning Specialization

Reinforcement Learning Specialization


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

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Reinforcement Learning (4.2 GB) | Mirror

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Reinforcement Learning Specialization.torrent (223 KB) | Mirror

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