How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
How to read and implement deep reinforcement learning papers
How to code Deep Q learning agents
How to Code Double Deep Q Learning Agents
How to Code Dueling Deep Q and Dueling Double Deep Q Learning Agents
How to write modular and extensible deep reinforcement learning software
This comprehensive Modern Reinforcement Learning: Deep Q Learning in PyTorch 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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What you need before starting this Modern Reinforcement Learning: Deep Q Learning in PyTorch course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Phil Tabor
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.
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