For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

Teesside University

Return to search Previous output Next output
Output 21 of 43 in the submission
Output title

Improved use of partial policies for identifying behavioral equivalence

Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems
Volume number
2
Issue number
-
First page of article
1015
ISSN of proceedings
-
Year of publication
2012
Number of additional authors
3
Additional information

<22> This paper presents the most efficient and effective algorithm for solving interactive dynamic influence diagram (I-DID) by identifying behavioural equivalence in an incremental way. Different from the previous set of algorithms (Zeng, JAIR 2012), the technique allows the comparison of agents’ behaviour in an asymmetric way. This is important since it not only saves a large amount of computational memory in the comparison process, but also helps further compress the model space of I-DID thereby providing scalable solutions. This line of research offers a solid foundation for developing more scalable solutions to I-DID and enables practical applications of I-DID.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-