Lecture 5.1 | Reinforcement learning | Reinforcement learning in practice |
Welcome to Lecture 5.1 of our series! In this session, we dive into the exciting realm of Reinforcement Learning. Get ready for an enriching exploration as we cover key topics in this field.
🚀 Agenda:
1. Introduction to Reinforcement Learning: We kick off with a comprehensive introduction, demystifying the core concepts that form the foundation of reinforcement learning.
2. Learning Tasks: Explore the diverse spectrum of learning tasks within reinforcement learning. Understand how agents interact with environments and learn from feedback.
3. Example of Reinforcement Learning in Practice: Witness the power of reinforcement learning in real-world scenarios. We walk you through practical examples, showcasing its application and impact.
🔗 Timestamps:
00:55 - Introduction
03:35 - Learning Tasks in Reinforcement Learning
06:30 - Reinforcement Learning in Practice: Real-World Examples
📘 Resources & Notes : t.me/analyticsschool
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