Scalar Reward is Not Enough 2023 (English)In: Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), International Foundation for Autonomous Agents and Multiagent Systems , 2023, p. 839-841Conference paper, Published paper (Refereed)

Abstract [en]

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].

Place, publisher, year, edition, pages

International Foundation for Autonomous Agents and Multiagent Systems , 2023. p. 839-841

Series

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, ISSN 1548-8403

Keywords [en]

Scalar rewards, Vector rewards, AGI, Reinforcement learning

National Category

Computer Sciences

Identifiers

URN: urn:nbn:se:liu:diva-194555ISBN: 978-1-4503-9432-1 (electronic)OAI: oai:DiVA.org:liu-194555DiVA, id: diva2:1764325

Conference

International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Funder

Vinnova, NFFP7/2017-04885Wallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2023-06-08 Created: 2023-06-08 Last updated: 2025-11-13

Open Access in DiVA

No full text in DiVA

Other links

Proceedings

Authority records

Källström, JohanHeintz, Fredrik

Search in DiVA

By author/editor

Källström, JohanHeintz, Fredrik

By organisation

Artificial Intelligence and Integrated Computer SystemsFaculty of Science & Engineering

On the subject

Computer Sciences

Search outside of DiVA

GoogleGoogle ScholarTotal: 288 hits