Skip to content

djang96/PyTuxKart_Reinforcement_Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation

EC400 Introduction to Reinforcement Learning

Reinforcement learning is a subfield of artificial intelligence which deals with learning from repeated interactions with an environment. Reinforcement learning is the basis for state-of-the-art algorithms for playing strategy games such as Chess, Go, Backgammon, and Starcraft, as well as a number of problems throughout robotics, operations research, and other fields of engineering. In this course, we will study the fundamental algorithms of reinforcement learning. Our goal will be to understand the principles underlying these algorithms and to test them on several popular benchmarks.

About

Reinforcement Learning

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published