Deep Reinforcement Learning: Hands-on AI Tutorial in Python
- 3.9
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Brief Introduction
Develop Artificial Intelligence Applications using Reinforcement Learning in Python.Description
In this course we learn the concepts and fundamentals of reinforcement learning, it's relation to artificial intelligence and machine learning, and how we can formulate a problem in the context of reinforcement learning and Markov Decision Process. We cover different fundamental algorithms including Q-Learning, SARSA as well as Deep Q-Learning. We present the whole implementation of two projects from scratch with Q-learning and Deep Q-Network.
Requirements
- Requirements
- Students are assumed to be familiar with python and have some basic knowledge of statistics, and deep learning.
Mehdi Mohammadi
3.9 Raiting
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- 3.6
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- 4.3
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- 4.7
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