Leverage the power of Reinforcement Learning techniques to develop intelligent systems using Python
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Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Implement state-of-the-art Reinforcement Learning algorithms from the basics
Discover various techniques of Reinforcement Learning such as MDP, Q Learning, and more
Dive into Temporal Difference Learning, an algorithm that combines Monte Carlo methods and dynamic programming
Create a virtual Self Driving Car application with Deep Q-Learning
Teach a Reinforcement Learning model to play a game using TensorFlow and the OpenAI gym
This comprehensive Python Reinforcement Learning, Deep Q-Learning and TRFL curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
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Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Comprehensive Program
Professional training from $199.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
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