Deakin University
Browse
- No file added yet -

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

Download (974.63 kB)
conference contribution
posted on 2024-08-06, 00:42 authored by P Vamplew, C Foale, CF Hayes, P Mannion, E Howley, Richard DazeleyRichard Dazeley, S Johnson, J Källström, G Ramos, R Rădulescu, W Röpke, DM Roijers
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

History

Volume

2024-May

Pagination

2717-2721

Location

Auckland, New Zealand

Publisher DOI

Open access

  • Yes

Start date

2024-05-06

End date

2024-05-10

ISSN

1548-8403

eISSN

1558-2914

ISBN-13

979-8-4007-0486-4

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Event

Autonomous Agents and Multiagent Systems. Conference (2024 : Auckland, New Zealand)

Publisher

ACM Digital Library

Place of publication

New York City, NY.

Usage metrics

    Research Publications

    Categories

    No categories selected

    Keywords

    Uncategorised value

    Licence

    CC BY 4.0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC