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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Support Rather Than Assault – Cooperative Agents in Minecraft

Potts, Danielle, MacFarlane, Kate and Hall, Lynne (2021) Support Rather Than Assault – Cooperative Agents in Minecraft. In: 33rd British Computer Society Human Computer Interaction conference, 19-21 July 2021, Online. (In Press)

Item Type: Conference or Workshop Item (Paper)

Abstract

With the dominant trope of the computer as adversary rather than enabler, reinforcement learning for games has mainly focused on the ability of agents to compete and win. Although cooperation is a product of learning, of understanding the player’s requirements and applying agents’ competences to fulfil them, there has been little investigation of reinforcement learning for cooperation in games. Reinforcement learning results in the agent adapting and changing, however, there are concerns that such adaptivity could alienate users if their cooperative agent outperforms them. To explore this, the paper outlines the development and training of cooperative agents reporting users’ positive response to adaptive cooperation in games.

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More Information

Depositing User: Lynne Hall

Identifiers

Item ID: 13659
URI: http://sure.sunderland.ac.uk/id/eprint/13659

Users with ORCIDS

ORCID for Kate MacFarlane: ORCID iD orcid.org/0000-0003-0271-3314
ORCID for Lynne Hall: ORCID iD orcid.org/0000-0001-5090-1980

Catalogue record

Date Deposited: 13 Jul 2021 15:27
Last Modified: 13 Jul 2021 15:27

Contributors

Author: Kate MacFarlane ORCID iD
Author: Lynne Hall ORCID iD
Author: Danielle Potts

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Artificial Intelligence
Computing > Games Design
Computing > Human-Computer Interaction
Computing

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