Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python | Edureka
About this course
This course provides a comprehensive introduction to reinforcement learning, covering key concepts such as supervised, unsupervised, and reinforcement learning. Participants will gain insights into the reinforcement learning process through practical examples like the popular game Counter Strike, and learn about fundamental concepts including agents, environments, states, and rewards. The tutorial will also delve into the mathematical framework of Markov Decision Processes and Q-learning.
What you should already know
Familiarity with basic concepts of machine learning and programming skills in Python are required before taking this course.
What you will learn
By the end of this course, learners will be able to understand reinforcement learning concepts and implement basic reinforcement learning models in Python.