Deep Reinforcement Learning in Python 2022-10 – Download

explanation:

Cutting-Edge AI: Deep Reinforcement Learning in Python is available on Udemy published website and trades in Reinforcement Learning and Deep Learning (Neural Networks). Science Deep Reinforcement Learning, etc. Even most professional chess players can build a robot that can defeat the entire world. Deep reinforcement learning is also used to build artificial intelligence for games like DOTA 2 and CS:GO. Wrong. This only scratches the surface of the capabilities of the deep reinforcement learning industry.

We saw how our robot walks in the real world, how it learns, and how it finds improvements even after using trained simulations. One of the aspects of a good simulation is that it requires no hardware. During this time you will come across many examples of artificial intelligence.

Cutting-Edge AI Capabilities: Deep Reinforcement Learning in Python:

Learn the application of a new algorithm, A2C, or OpenAI Baselines.

Learning and Evolution Strategies (ES)

Learning and Deep Deterministic Policy Gradient (DDPG)

It is better to do the following before starting the course: Accustomed

calculus
probability
object-oriented programming
Python coding: if/else, loops, lists, dictionaries, sets,
Numpy Coding: Matrix and Vector Operations
linear regression
gradient descent
Learn how to build a convolutional neural network (CNN) in TensorFlow.
Markov Decision Process (MDP)

Profile Course:

Headline courses for 2024/5

Cutting-Edge AI: Deep Reinforcement Learning in Python

Prerequisite subjects

Learn the basics of Markov Decision Process (MDP) and reinforcement learning.

It was helpful to look at the first two reinforcement learning processes.
Learn how to build a convolutional neural network in Tensorflow.

image duration

Cutting-Edge AI: Deep Reinforcement Learning in Python

Sample video:

installation manual

Custom view after extraction to player.

Subtitles: English

Quality: 720p

Changes:

The number of courses and course duration have not changed in the 2022/10 version compared to the 2019/8 version, but the sizes of some videos have changed.