z-logo
open-access-imgOpen Access
Exploiting Separability in Multiagent Planning with Continuous-State MDPs
Author(s) -
Jilles Dibangoye,
Christopher Amato,
Olivier Buffet,
François Charpillet
Publication year - 2014
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - scalability , computer science , mathematical optimization , markov decision process , locality , partially observable markov decision process , bellman equation , set (abstract data type) , convergence (economics) , state (computer science) , function (biology) , markov process , markov chain , mathematics , algorithm , machine learning , markov model , linguistics , statistics , philosophy , database , evolutionary biology , programming language , economics , biology , economic growth

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom