About The Course:

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 WILL 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 

SKILLS YOU WILL GAIN

  • Artificial Intelligence (AI)
  • Machine Learning
  • Reinforcement Learning
  • Function Approximation
  • Intelligent Systems

There are 4 Courses in this Specialization

  • Fundamentals of Reinforcement Learning
  • Sample-based Learning Methods
  • Prediction and Control with Function Approximation
  • A Complete Reinforcement Learning System (Capstone)
How to Enroll For This Course !

1. Sign Up on www.coursera.org

2. Enroll Here Click Here

3. Apply Coupon Code: No Code Needed

Machine Leaning Top Course: Click Here

Instructor:

Offered by University of Alberta

UAlberta is considered among the world’s leading public research- and teaching-intensive universities. As one of Canada’s top universities, we’re known for excellence across the humanities, sciences, creative arts, business, engineering and health sciences.

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