Reinforcement Learning

Overview

If you're keen on diving deep into the world of machine learning and have a particular interest in theoretical aspects, our Reinforcement Learning course is tailor-made for you. Offered by the Indian Institute of Technology, Kharagpur, and available through Udacity, this course delves into the realm of automated decision-making from a computer science perspective.

Engage with a carefully curated blend of classic studies and cutting-edge research to uncover the intricacies of efficient algorithms for both single-agent and multi-agent planning. Moreover, the course provides a comprehensive approach to mastering near-optimal decision-making through experiential learning.

By the end of your journey, you'll have the chance to replicate a significant result from a published paper in the field of reinforcement learning, marking a significant milestone in your research or academic career.

This is not just a course; it's your gateway to joining the reinforcement learning research community, under the guidance of two leading figures in the domain, Professors Charles Isbell and Michael Littman.

This course falls under several critical categories, including Artificial Intelligence Courses, Machine Learning Courses, Reinforcement Learning Courses, and Game Theory Courses, making it a comprehensive program for aspiring experts in these fields.

Taught by

Charles Isbell and Michael Littman

Subjects

united states