Practical Reinforcement Learning using Python – 8 AI Agents

您是否想学习如何构建利用当今技术的尖端交易算法？或者，您是否想学习被认为是人工智能最新技术的工具和技能？还是只想以高度实用的方式学习强化学习？本课程将指导您逐步构建最先进的交易算法，并确保您不动手实践技能，以构建自己拥有的任何强化学习算法构想并有效实施。

完成本课程后，您将能够：

• 在任何环境中构建任何强化学习算法
• 使用强化学习进行自己的科学实验
• 使用强化学习解决问题
• 利用尖端技术为您自己的项目
• OpenAI大师体育馆

这是本课程中包含的内容：

• Atari强化学习代理
• 从头开始构建Q-Learning，并在自主出租车环境中实施
• 从头开始构建深度Q学习，并在Flappy Bird中实施
• 从头开始构建深度Q学习，并在Mario Bird中实施
• 建立库存增强学习算法
• 打造可以完成各种环境的智能汽车

MP4 | Video: h264, 1280×720 | Audio: AAC, 44100 Hz
Language: English | Size: 2.40 GB | Duration: 5h 3m

What you’ll learn
Practical Reinforcement Learning
Master Open AI Gyms
Flappy Bird Agent
Mario Agent
Stocks Agents
Car Agents
Space Invaders Agent
and Much More!!
Build Reinforcement Learning Agents in Any Environment
Requirements
Just Python!!
Knowing Neural Networks, but not necessary
Description
Join the most comprehensive Reinforcement Learning course on Udemy and learn how to build Amazing Reinforcement Learning Applications!

Do you want to learn how to build cutting edge trading algorithms that leverage todays technology? Or do you want to learn the tools and skills that are considered the state of the art of Artificial Intelligence? Or do you just want to learn Reinforcement Learning in a Highly practical way?

After completing this course you will be able to:

Build any reinforcement learning algorithm in any environment

Use Reinforcement Learning for your own scientific experiments

Solve problems using Reinforcement Learning

Leverage Cutting Edge Technologies for your own project

Master OpenAI gym’s

Why should you choose this course?

This course guides you through a step-by-step process of building state of the art trading algorithms and ensures that you walk away with the practical skills to build any reinforcement learning algorithm idea you have and implement it efficiently.

Here’s what’s included in the course:

Atari Reinforcement Learning Agent

Build Q-Learning from scratch and implement it in Autonomous Taxi Environment

Build Deep Q-Learning from scratch and implement it in Flappy Bird

Build Deep Q-Learning from scratch and implement it in Mario Bird

Build a Stock Reinforcement Learning Algorithm

Build a intelligent car that can complete various environments

And much more!

This course is for you if …

You’re interested in cutting edge technology and applying it in practical ways

You’re passionate about Deep Learning/AI

Want to learn about cutting-edge technologies!

Want to learn reinforcement learning by doing cool projects!

Course prerequisites:

Python!

Who this course is for:
Python Developers
Coding Enthusiast
People Interested in Cutting-Edge Technology