Udemy - Deep Reinforcement Learning 2.0 2021

Description

Deep Reinforcement Learning 2.0 is a training package on the subject of deep reinforcement learning. Deep reinforcement learning uses the principles of deep learning and reinforcement learning to build efficient algorithms for applications in robotics, computer games, natural language processing, computer vision, education, transportation, accounting, and healthcare.

Implementing a deep learning architecture with enhanced learning algorithms has the ability to solve problems that were not previously solvable. In the Deep Reinforcement Learning 2.0 course, a new super-intelligent AI model called Twin-Delayed DDPG is implemented, which combines artistic techniques in AI, including Double Deep Q-Learning, Policy Gradient, and Actor-Critic. Fully trained. This model is so powerful that you can use it to solve the most challenging artificial intelligence programs.

Things to be taught in this course:

Q-Learning
Deep Q-Learning
Policy gradient
Actor-Critic
Deep definite policy gradient
Twin-Delayed DDPG
Basic techniques of deep reinforcement learning
How to implement a mode of artificial intelligence model that has the ability to perform the most challenging virtual applications

Course specifications

Publisher: Udemy
Instructor: Hadelin de Ponteves, Kirill Eremenko
elementary level
Duration: 9 hours and 38 minutes
Number of lessons: 63 lessons
English language

Course topics

prerequisites:

Some maths basics like knowing what is a differentiation or a gradient
A bit of programming knowledge (classes and objects)

Pictures

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 1080p

Changes:

Version 2021/8 Compared to 2019/11, the number of lessons increased by 1 but decreased by 1 minute. Its quality has also been upgraded from 720p to 1080p.

Udemy – Deep Reinforcement Learning 2.0 2021