Reinforcement Learning

Description

You must take this course if you are interested in machine studying and the need to interact with it from a theoretical perspective. Via a mixture of basic papers and more moderen work, you’ll discover automated decision-making from a computer-science perspective. You’ll study environment friendly algorithms, the place they exist, for single-agent and multi-agent planning in addition to approaches to studying near-optimal choices from expertise. On the finish of the course, you’ll replicate a consequence from a broadcast paper in reinforcement studying.