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Reinforcement Learning with Python Explained for Beginners

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Reinforcement Learning with Python Explained for Beginners  Free Tutorial Download

Although introduced academically decades ago, the recent developments in the field of reinforcement learning have been phenomenal. Domains such as self-driving cars, natural language processing, healthcare industry, online recommender systems, and so on have already seen how RL-based AI agents can bring tremendous gains.

 

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This course will help you get started with reinforcement learning first by establishing the motivation for this field and then covering all the essential topics, such as Markov Decision Processes, policy and rewards, model-free learning, temporal difference learning, and so on.

Each topic is accompanied by exercises and complementing analysis to help you gain practical and tangible coding skills.

 

By the end of this course, not only will you have gained the necessary understanding to implement RL in your projects but also implemented an actual Frozenlake project using the OpenAI Gym toolkit.

 

All resources and code files are placed here: https://github.com/PacktPublishing/Reinforcement-Learning-with-Python-Explained-for-Beginners

Reinforcement Learning with Python Explained for Beginners, Free Tutorials Download

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Author: Ho Quang Dai

I am Ho Quang Dai, from Vietnam – A country that loves peace. I share completely free courses from major academic websites around the world. Hope to bring free knowledge to everyone who can’t afford to buy


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Ta

hello,

if you have the course ( PyTorch: Deep Learning and Artificial Intelligence ), can you please share it?

Best regards and thank you for your efforts

Ta

Hallo,
it is not this tutorial . It is another tutorial from Udemy. the name of the tutorial is ( PyTorch: Deep Learning and Artificial Intelligence ). If you have it, can you share it.

Best Regards

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