Statistical Reinforcement Learning: Modern Machine Learning...

Main
Computers - Computer Science
Computers - Cybernetics
Statistical Reinforcement Learning:...

Statistical Reinforcement Learning: Modern Machine Learning Approaches

Name: Statistical Reinforcement Learning: Modern Machine Learning Approaches
ISBN: 9781439856895

Masashi Sugiyama

1.0 / 1.0

3 comments

Quanto Você gostou deste livro?

Qual é a qualidade do ficheiro descarregado?

Descarregue o livro para avaliar a sua qualidade

De que qualidade são os ficheiros descarregados?

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and game players have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RLm. The book provides a bridge between RL and data mining and machine learning research.

Categorias:

Computers - Computer Science
Computers - Cybernetics

Ano:

2015

Edição:

Editora:

Chapman and Hall/CRC

Idioma:

english

Páginas:

573

ISBN 10: