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Module 10: Reinforcement Learning

Advanced topics in deep learning - Module 10

4-5 hours

🎯 Learning Objectives

Understand the core concepts of Reinforcement Learning
Apply theoretical knowledge to practical problems
Implement key algorithms and architectures
Analyze performance and optimization strategies
Lecture Materials
Core video lectures and presentations

Introduction to Reinforcement Learning

Comprehensive introduction to the key concepts of Module 10.

30 min
Watch
Required Readings
Essential texts and research papers

Research Papers - Module 10

Key research papers for Module 10.

45 min
Read
Code Examples & Notebooks
Hands-on programming exercises

Module 10 Implementation

Practical implementation exercises for Module 10.

Open in ColabCode
Additional Resources
Supplementary materials for deeper learning

Module 10 Resources

Additional learning resources for Module 10.

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