Research
ORCID: 0000-0003-1958-0212
Selected Grants:
- Empowering Tabletop Game Designers with AI; funder: Innovate UK. 2023
- Abstract Forward Models for Modern Games; funder: EPSRC, (UK). 2020-2023
- AI for Tabletop Games; funder: Queen Mary Innovation. 2022-2024
- (as Co-I) IGGI CDT (Phase 2); funder: EPSRC, UK. 2019 - present.
- (as Co-I) Annotating Reference and Coreference In Dialogue Using Conversational Agents in games (ARCIDUCA); funder: EPSRC, UK. 2022 - present.
Selected Journal Publications:
- Linjie Xu, Alexander Dockhorn, Diego Perez-Liebana, Elastic Monte Carlo Tree Search, in IEEE Transactions on Games (ToG) (2023). [pdf]
- Martin Balla, George Long, James Goodman, Raluca Gaina, Diego Perez-Liebana, PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning, in IEEE Transactions on Games(ToG) (2024). [pdf]
Books and Book Chapters:
- Diego Perez-Liebana, Simon M. Lucas, Raluca D. Gaina, Ahmed Khalifa, Julian Togelius, Jialin Liu General Video Game Artificial Intelligence, a book in Morgan and Claypool Publishers (2019). [URL]
- Diego Perez-Liebana, Miguel Nicolau, Evolving Behaviour Tree Structures Using Grammatical Evolution, in Handbook of Grammatical Evolution, pp 433--460, Springer (2018). [pdf]
Selected Conference Publications:
- Diego Perez Liebana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu and Jeurissen Dominik, Generating Diverse and Competitive Play-Styles for Strategy Games, in Proceedings of the IEEE Conference on Games (CoG) (2021). [pdf]
- Diego Perez-Liebana, Raluca D. Gaina, Olve Drageset, Ercument Ilhan, Martin Balla, Simon M. Lucas, Analysis of Statistical Forward Planning Methods in Pommerman, in Proceedings of the Artificial intelligence and Interactive Digital Entertainment (AIIDE) (2019). [pdf] [Best Artifact Award: Artifact, Award]
- Diego Perez-Liebana, Philipp Rolfshagen and Simon M. Lucas. Monte Carlo Tree Search: Long-term versus Short-term Planning, IEEE Conference on Computational Intelligence and Games (2012), pp. 219 -- 226 (Best paper award). [pdf]
- Diego Perez-Liebana, Miguel Nicolau, Michael O'Neill and Anthony Brabazon. Evolving Behaviour Trees for the Mario Bros Game Using Grammatical Evolution, LNCS 6624, Proceedings of EvoGAMES 2011 the 3rd European Event on Bio-inspired Algorithms in Games, Springer, pp.121-130. (Best paper award). [pdf]
Selected Invited Talks:
- D. Perez, R. Gaina. Empowering Game Designers with Automatic Playtesting, in AI in Games Conference, London, UK, 2024.
- D. Perez. AI for Tabletop Games, in Workshop on Computational Intelligence and Games, Shenzhen, China, 2024.
- D.Perez. Bringing AI to the table: helping designers make better board games, in Pint of Science, London, UK, 2023.
PhD Students:
- Raluca D. Gaina, Rolling Horizon Evolutionary Algorithms in General Video Game Playing. Viva Date: 25 March 2021. [Deposit / pdf]
- Cristina Guerrero-Romero, Beyond Playing to Win: Elicit General Gameplaying Agents with Distinct Behaviours to Assist Game Development and Testing. Viva Date: 22 March 2022. [Deposit / pdf]
- Ercument Ilhan, Accelerating Deep Reinforcement Learning via Action Advising. Viva Date: 28 March 2022. [Deposit / pdf]
- Cristiana Pacheco, Believability Assessment and Modelling in Video Games. Viva Date: 15 June 2023. [Deposit / pdf]
- Martin Balla, Multi task Reinforcement Learning for Adaptive Agents. Viva Date: 4 July 2024. [Pending deposit]
- Linjie Xu, Efficient Data Usage for Planning and Reinforcement Learning. Viva Date: 30 May 2025. [Pending deposit]