z-logo
open-access-imgOpen Access
Target Surveillance in Adversarial Environments Using POMDPs
Author(s) -
Maxim Egorov,
Mykel J. Kochenderfer,
Jaak Uudmae
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10126
Subject(s) - observability , markov decision process , adversarial system , adversary , computer science , partially observable markov decision process , markov chain , construct (python library) , process (computing) , state (computer science) , markov process , mathematical optimization , artificial intelligence , computer security , markov model , machine learning , algorithm , mathematics , statistics , programming language , operating system

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