Reinforcement Learning Course | IIT Madras

Comprehensive introduction to the core concepts, algorithms, and applications of reinforcement learning. Taught by experienced faculty from IIT Madras.

Introduction

Reinforcement Learning is a fundamental 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 core concepts, algorithms, and applications of reinforcement learning.

Highlights

• Covers the key concepts and algorithms of reinforcement learning, including Markov Decision Processes, dynamic programming, Monte Carlo methods, and temporal-difference learning.
• Explores advanced topics such as function approximation, deep reinforcement learning, and multi-agent reinforcement learning.
• Includes hands-on programming assignments and projects to reinforce the understanding of the concepts.
• Taught by experienced faculty from IIT Madras, a leading engineering institution in India.

Recommendation

This course is highly recommended for students, researchers, and professionals interested in machine learning, artificial intelligence, and decision-making under uncertainty. It provides a solid foundation in reinforcement learning and its applications in various domains, including robotics, game playing, and resource allocation.