Udemy – Advanced Reinforcement Learning in Python: cutting-edge DQNs 2022-5

Published on: 2022-10-04 19:33:37

Categories: 28

Description

Advanced Reinforcement Learning in Python: cutting-edge DQNs is an advanced reinforcement learning course in Python published by Udemy Academy. During this training course, he will get acquainted with the process of developing and making assistants based on artificial intelligence, which are used using different breeding and strengthening techniques. Algorithms in the field of emotional enhancement are introduced during this training course with the development process of its most advanced and most important algorithms with PyTorch framework and PyTorch lightning tool. Implementing a set of adaptive algorithms that are able to solve a set of controlled tasks with a specific technical structure based on their previous experiences is one of the most important skills taught in this course.

In the final part of this training course, all the skills learned and taught materials are combined and used in the development of an assistant based on artificial intelligence. This assistant is fully adaptive and can make decisions in different situations and act based on the decisions made using artificial neural networks and several methods defined for it.

What you will learn in Advanced Reinforcement Learning in Python: cutting-edge DQNs

Advanced reinforcement learning
PyTorch framework
Hyperparameter tuning with Optuna
Reinforcement learning with raw image data
Advanced and applied reinforcement learning algorithms
Building artificial intelligence with the ability to make decisions in different situations
Getting to know the learning process for each of the algorithms
Debugging and developing the operating range of different algorithms
And …

Course specifications

Publisher: Udemy
Instructors: Escape Velocity Labs
Language: English
Level: Introductory to Advanced
Number of Lessons: 102
Duration: 8 hours and 26 minutes

Course topics

Advanced Reinforcement Learning in Python: cutting-edge DQNs Content

Advanced Reinforcement Learning in Python: cutting-edge DQNs Prerequisites

Be comfortable programming in Python
Completing our course “Reinforcement Learning beginner to master” or being familiar with the basics of Reinforcement Learning (or watching the leveling sections included in this course).
Know basic statistics (mean, variance, normal distribution)