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Artificial Intelligence: Reinforcement Learning in Python, Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning
Created by Lazy Programmer Inc.
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What Will I Learn?
- Apply gradient-based supervised machine learning methods to reinforcement learning
- Understand reinforcement learning on a technical level
- Understand the relationship between reinforcement learning and psychology
- Implement 17 different reinforcement learning algorithms
Requirements
- Calculus
- Probability
- Markov Models
- The Numpy Stack
- Have experience with at least a few supervised machine learning methods
- Gradient descent
- Good object-oriented programming skills
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