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I’m a lecturer at EECS and a member of the Game AI research group since August 2018. I have a background in artificial intelligence and human-computer interaction research, and a PhD in AI from the University of Edinburgh.

My research is mainly on computational game design: how can computers understand play and help us design video games? More broadly, I’m interested in computational creativity, procedural content generation, game AI, player analytics and player experience.

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GAIG Publications

2024

2023

2022

2021

• IEEE TOG 2021 Danesh: Interactive Tools For Understanding Procedural Content Generators
  Cook, Michael and Gow, Jeremy and Smith, Gillian and Colton, Simon, in IEEE Transactions on Games, 2021.
  pubs-2021  ieee-tog  procedural-generation  computational-creativity  generative-software-analysis
  
  
• AAMAS 2021 Action Advising with Advice Imitation in Deep Reinforcement Learning
  Ilhan, Ercument and Gow, Jeremy and Perez-Liebana, Diego, in Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems, 2021.
  pubs-2021  aamas  reinforcement-learning
  
  
• 2021 Learning on a Budget via Teacher Imitation
  Ilhan, Ercument and Gow, Jeremy and Perez-Liebana, Diego, in arXiv:2104.08440, 2021.
  pubs-2021  arxiv  reinforcement-learning  action-advising
  
  

2020

• DiGRA 2020 How Players Learn Team-versus-Team Esports: First Results from A Grounded Theory Study
  Hesketh, Joseph and Deterding, Christoph Sebastian and Gow, Jeremy, in DiGRA'20 Abstract-Proceedings of the 2020 DiGRA International Conference, 2020.
  pubs-2020  digra  esports  game-learning  grounded-theory  Dota2  CS:GO
  
  
• 2020 Student-Initiated Action Advising via Advice Novelty
  Ilhan, Ercument and Gow, Jeremy and Perez-Liebana, Diego, in arXiv:2010.00381, 2020.
  pubs-2020  arxiv  reinforcement-learning  action-advising
  
  

2019

• IEEE COG 2019 General Analytical Techniques For Parameter-Based Procedural Content Generators
  Cook, Michael and Colton, Simon and Gow, Jeremy and Smith, Gillian, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  procedural-content-generation  generative-systems-analysis  co-creativity
  
  
• IEEE COG 2019 Teaching on a Budget in Multi-agent Deep Reinforcement Learning
  Ilhan, Ercument and Gow, Jeremy and Perez-Liebana, Diego, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  reinforcement-learning
  
  

2018

2017