Open access peer-reviewed chapter

Hierarchical Reinforcement Learning Using a Modular Fuzzy Model for Multi-Agent Problem

By Toshihiko Watanabe

Published: February 1st 2010

DOI: 10.5772/9388

Downloaded: 1413

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Toshihiko Watanabe (February 1st 2010). Hierarchical Reinforcement Learning Using a Modular Fuzzy Model for Multi-Agent Problem, New Advances in Machine Learning, Yagang Zhang, IntechOpen, DOI: 10.5772/9388. Available from:

chapter statistics

1413total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Random Forest-LNS Architecture and Vision

By Hassab Elgawi Osman

Related Book

First chapter

Machine Learning: When and Where the Horses Went Astray?

By Emanuel Diamant

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us