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Game AI

How might we use novel AI techniques including machine learning and decision search to create more effective and engaging game agents and understand human behaviour in games? 


Project areas include:

  • AI agents that play games using Deep Reinforcement Learning and Statistical forward planning

  • AI agents as non-player characters

  • General Video Game AI - AI that can be transferred between video games

  • AI agents for game balancing and Quality Assurance testing

iGGi >>> People <<< relevant to this Theme:

Michael Aichmüller

Michael Aichmüller

iGGi Alum

Game AI, Applied Games

Dr Martin Balla

Dr Martin Balla

iGGi Alum

Available for post-PhD position

Game AI

Matt Bedder

Matt Bedder

iGGi Alum

Game AI

Toby Best

Toby Best

iGGi PG Researcher

Available for placement

Game AI, Design & Development, Player Research

Dr Memo Akten

Dr Memo Akten

iGGi Alum

Game AI

Dr Mathieu Barthet

Dr Mathieu Barthet

Supervisor

Game AI, Game Audio

Prof. David Beer

Prof. David Beer

Supervisor

Player Research, Applied Games, Creative Computing, Game Data, Game AI

Dr Adrian Bors

Dr Adrian Bors

Supervisor

Game AI

Dr Myat Aung

Dr Myat Aung

iGGi Alum

Game AI

Prof. Richard Bartle

Prof. Richard Bartle

Supervisor

Design & Development, Game AI, Player Research

Dr Daniel Berio

Dr Daniel Berio

iGGi Alum

Game AI

Dr Ivan Bravi

Dr Ivan Bravi

iGGi Alum

Game AI, Player Research

iGGi >>> Publications <<< relevant to this Theme:

World and human action models towards gameplay ideation

A Kanervisto, D Bignell, LY Wen, M Grayson, R Georgescu, ...

Nature 638 (8051), 656-663, 2025

Towards an Ontology of Wargame Design

L Ouriques, CE Barbosa, J Kritz, G Xexéo

IEEE Access, vol. 13

When 1+ 1 does not equal 2: Synergy in games

Joshua Kritz, Raluca Gaina

arXiv preprint arXiv:2502.10304

Archaeological Gameworld Affordances: A Grounded Theory of How Players Interpret Environmental Storytelling

F Smith Nicholls, M Cook

CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, Article no 465, p. 1 - 20

Seeding for Success: Skill and Stochasticity in Tabletop Games

J Goodman, D Perez-Liebana, S Lucas

IEEE Transactions on Games, 2025

Efficient solutions for an intriguing failure of llms: Long context window does not mean LLMs can analyze long sequences flawlessly

Peyman Hosseini, Ignacio Castro, Iacopo Ghinassi, Matthew Purver

31st International Conference on Computational Linguistics (COLING)

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The EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (iGGi) is a leading PhD research programme aimed at the Games and Creative Industries.

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