Lecture

General Introduction into Artificial Neural Networks: part 3

Description

This lecture provides a general introduction into learning by rewards, focusing on examples from deep reinforcement learning presented without mathematical details. Topics covered include action learning, learning from mistakes and successes, deep reinforcement learning in games like chess, and the use of artificial neural networks for reward-based learning.

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.