cutting-edge DQNs 2022-5 – Full Version

The description

Advanced Reinforcement Learning in Python: cutting-edge DQNs is an Advanced Reinforcement Learning in Python course published by Udemy Academy. During this training, he will learn about the process of developing and manufacturing artificial intelligence-based assistants, which are used with the help of different breeding and reinforcement techniques. Algorithms in the field of emotional enhancement are introduced during this training with the process of developing its most advanced and important algorithms with the PyTorch framework and the Lightning PyTorch tool. Implementing a set of adaptive algorithms capable of solving 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 last part of this training, all the skills acquired and the subjects taught are combined and used in the development of an artificial intelligence-based assistant. This assistant is fully adaptive and can make decisions in different situations and act according to the decisions made using artificial neural networks and several methods defined for this.

What You’ll Learn in Advanced Reinforcement Learning in Python: State-of-the-art DQNs

  • Advanced reinforcement learning
  • PyTorch framework
  • Hyperparameter tuning with Optuna
  • Reinforcement learning with raw image data
  • Advanced and applied reinforcement learning algorithms
  • Build an artificial intelligence with the ability to make decisions in different situations
  • Know the learning process of each of the algorithms
  • Debug and develop the working range of different algorithms
  • And …

Course specifications

Editor: Udemy
Instructors: Escape Velocity Labs
French language
Level: Introductory to Advanced
Number of lessons: 102
Duration: 8 hours and 26 minutes

Course topics

Advanced Reinforcement Learning in Python: Cutting Edge DQN Content

Advanced Reinforcement Learning in Python: State-of-the-art DQNs

Be comfortable with programming in Python
Complete our “Beginner to Master Reinforcement Learning” course or be familiar with the basics of reinforcement learning (or watch the upgrade sections included in this course).
Know basic statistics (mean, variance, normal distribution)

Pictures

Advanced Reinforcement Learning in Python: State-of-the-art DQNs

Advanced Reinforcement Learning in Python: Cutting-Edge DQN Introductory Video

Installation guide

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english subtitle

Quality: 720p

Download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 429 MB

File password(s): ngaur.com

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