Description:

Reinforcement Learning is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. This course provides a comprehensive introduction to the foundations, algorithms, and applications of reinforcement learning.

Key Highlights:

• Foundations of Reinforcement Learning
• Algorithms for Reinforcement Learning
• Applications of Reinforcement Learning

What you will learn:

• Understanding Reinforcement Learning
  Gain a clear understanding of the basic concepts and principles of reinforcement learning
• Implementing RL Algorithms
  Learn how to implement various reinforcement learning algorithms in practice
• Applying RL in Real-World Scenarios
  Explore the practical applications of reinforcement learning in various domains