Computer Science / Reinforcement Learning

Deep Reinforcement Learning: Hands-on AI Tutorial in Python

بواسطة: Udemy

Overview

Develop Artificial Intelligence Applications using Reinforcement Learning in Python.

What you'll learn:

The concepts and fundamentals of reinforcement learning
The main algorithms including Q-Learning, SARSA as well as Deep Q-Learning.
How to formulate a problem in the context of reinforcement learning and MDP.
Apply the learned techniques to some hands-on experiments and real world projects.
Develop artificial intelligence applications using reinforcement learning.

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.

Taught by

Mehdi Mohammadi

Computer Science / Reinforcement Learning

Deep Reinforcement Learning: Hands-on AI Tutorial in Python

الذهاب الي الدورة

Deep Reinforcement Learning: Hands-on AI Tutorial in Python

بواسطة: Udemy

Udemy
مدفوعة
الإنجليزية
متاح شهادة
متاح في أي وقت
intermediate
English

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