- Title
- Scalar reward is not enough JAAMAS Track
- Creator
- Vamplew, Peter; Smith, Benjamin; Källström, Johan; Ramos, Gabriel; Rădulescu, Roxana; Roijers, Diederik; Hayes, Conor; Heintz, Fredrik; Mannion, Patrick; Libin, Pieter; Dazeley, Richard; Foale, Cameron
- Date
- 2023
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/196606
- Identifier
- vital:18740
- Identifier
- ISBN:1548-8403 (ISSN)
- Abstract
- Silver et al. [14] posit that scalar reward maximisation is sufficient to underpin all intelligence and provides a suitable basis for artificial general intelligence (AGI). This extended abstract summarises the counter-argument from our JAAMAS paper[19]. © 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
- Publisher
- International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
- Relation
- 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, 29 May to 2 June 2023, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Vol. 2023-May, p. 839-841
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2023 International Foundation for Autonomous Agents and Multiagent Systems
- Subject
- AGI; Reinforcement learning; Scalar rewards; Vector rewards
- Reviewed
- Funder
- Autonomous Systems and Software Program Onderzoeksprogramma Artificiële Intelligentie (AI) Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) Wallenberg Artificial Intelligence National Institutes of Health National Cancer Institute University of Galway Fundação de Amparo à Pesquisa do Estado de São Paulo VINNOVA Fonds Wetenschappelijk Onderzoek Knut och Alice Wallenbergs Stiftelse Vlaamse regering
- Hits: 4208
- Visitors: 3216
- Downloads: 1
| Thumbnail | File | Description | Size | Format |
|---|