Reinforcement Learning in Python is a prominent area of modern research in artificial intelligence. It differs from both supervised and unsupervised learning but is about how humans learn in real life. With this course, learn the theoretical core and recent practical RL methods and its application. In six weeks, you will be guided through the basics of Reinforcement Learning (RL). In addition to algorithms and theory, during this course, learn some useful tips and tricks needed for learning stabilization, and studying how to apply such methods to large scale problems along with deep neural networks

Skills covered

  • checkReinforcement Learning
  • checkStates
  • checkActions
  • checkState based mechanism in Reinforcement Learning

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