Deep Reinforcement Learning 2.0

Deep Reinforcement Learning 2.0

Deep Reinforcement Learning 2.0
Deep Reinforcement Learning 2.0, The smartest combination of Deep Q-Learning, Policy Gradient, Actor Critic, and DDPG
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Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team
English
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What you'll learn
  • Q-Learning
  • Deep Q-Learning
  • Policy Gradient
  • Actor Critic
  • Deep Deterministic Policy Gradient (DDPG)
  • Twin-Delayed DDPG (TD3)
  • The Foundation Techniques of Deep Reinforcement Learning
  • How to implement a state of the art AI model that is over performing the most challenging virtual applications
  • Requirements
  • Some maths basics like knowing what is a differentiation or a gradient
  • A bit of programming knowledge (classes and objects)

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