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Action Model Learning for Multi-agent Systems
Occhipinti Liberman, Andrés
(PhD Student)
Herzig, Andreas
(Examiner)
Smets, Sonja
(Examiner)
Lluch Lafuente, Alberto
(Examiner)
Bolander, Thomas
(Main Supervisor)
Gierasimczuk, Nina
(Supervisor)
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/02/2017
→
09/12/2020
Funding
Technical University of Denmark
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Representation Learning
Computer Science
100%
Network Dynamic
Computer Science
100%
Epistemic Logic
Mathematics
100%
Autonomous Agent
Computer Science
66%
Multi-Agent Planning
Computer Science
66%
Domain Information
Computer Science
66%
Internal Representation
Computer Science
66%
Learning Algorithm
Computer Science
66%
Research output
Research output per year
2020
2020
2020
1
Ph.D. thesis
Research output per year
Research output per year
Representation, learning and planning for theory-of-mind agents using dynamic epistemic logic
Occhipinti Liberman, A.,
2020
,
Technical University of Denmark
.
126 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Representation Learning
100%
Network Dynamic
100%
Epistemic Logic
100%
Theory of Mind
100%
Multi-Agent Planning
66%
259
Downloads (Orbit)