Algorithms for Reinforcement Learning

Algorithms for Reinforcement Learning - Csaba Szepesvari | Showmesound.org PDF, TXT, FB2. ePUB. MOBI. Le livre a été écrit en 2021. Cherchez un livre sur showmesound.org.

INFORMATION

AUTEUR
Csaba Szepesvari
DIMENSION
5,68 MB
NOM DE FICHIER
Algorithms for Reinforcement Learning.pdf
ISBN
2446165117448

DESCRIPTION

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming. We give a fairly comprehensive catalog of learning problems, describing the core ideas and noting a large number of state-of-the-art algorithms, followed by a discussion of their theoretical properties and limitations.

We give a fairly comprehensive catalog of ... Algorithms for Reinforcement Learning. Book · January 2010 with 7,663 Reads How we measure 'reads' A 'read' is counted each time someone views a publication summary (such as the title, abstract ... Reinforcement Learning (RL) refers to a kind of Machine Learning method in which the agent receives a delayed reward in the next time step to evaluate its previous action.

Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in arti cial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful ... Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering.

LIVRES CONNEXES