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
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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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