Lecture

Variations of SARSA: Expected SARSA and Q Learning

Description

This lecture introduces variations of the SARSA algorithm, focusing on expected SARSA and Q learning. Expected SARSA updates the policy by averaging over possible next actions, while Q learning updates the policy by considering the maximum possible action. The instructor explains the differences between these variations and how they impact the learning process.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.