Lecture
Continuous space: action space
Description
This lecture introduces the concept of continuous state and action spaces in reinforcement learning, focusing on methods to transfer techniques from discrete to continuous spaces. Topics covered include parametric approximation, SARSA algorithm, eligibility traces, and results from the mountain car task.
Official source
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.