Hands-on Reinforcement Learning with TensorFlow
Free Download Udemy Hands-on Reinforcement Learning with TensorFlow. With the help of this course you can Train your agent using Reinforcement Learning with Tensorflow’s neural networks, OpenAI Gym & Python, to make it smarter.
This course was created by Packt Publishing. It was rated 4.2 out of 5 by approx 5500 ratings. There are approx 36774 users enrolled with this course, so don’t wait to download yours now. This course also includes 3.5 hours on-demand video, 1 Downloadable Resource, Full lifetime access, Access on mobile and TV & Certificate of Completion.
What Will You Learn?
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Get to know important features of RL that are used for AI
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Create agents to perform complex tasks using RL
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Implement the Q-learning and Q-network algorithms for RL
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Apply Deepmind’s Deep Q-network architecture to improve performance
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See improvisations of DQN (Double DQN and Dueling DQN) and other state of the art RL techniques
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Test your RL agent on myriad of games and other environments using the Open AI gym
You’ve probably heard of Deepmind’s AI playing games and getting really good at playing them (like AlphaGo beating the Go world champion). Such agents are built with the help of a paradigm of machine learning called “Reinforcement Learning” (RL).
In this course, you’ll walk through different approaches to RL. You’ll move from a simple Q-learning to a more complex, deep RL architecture and implement your algorithms using Tensorflow’s Python API. You’ll be training your agents on two different games in a number of complex scenarios to make them more intelligent and perceptive.
By the end of this course, you’ll be able to implement RL-based solutions in your projects from scratch using Tensorflow and Python.
About the Author
Satwik Kansal is a Software Developer with more than 2 years experience in the domain of Data Science. He’s a big open source and Python aficionado, currently the top-rated Python developer in India, and an active Python blogger. Satwik likes writing in-depth articles on various technical topics related to Data Science, Decentralized Applications, and Python. Apart from working full time as a software engineer, you may find him guest blogging for IBM DeveloperWorks and Learndatasci, freelancing, participating in Hackathons, or attending tech-conferences.
Buy Udemy’s Hands-on Reinforcement Learning with TensorFlow
Free Download Udemy’s Hands-on Reinforcement Learning with TensorFlow
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