Diego Pérez-Liébana
Diego Pérez-Liébana has joined the Game AI research group of the Queen Mary University of London on 2nd January 2018. Diego Pérez-Liébana is currently a Senior Lecturer in Computer Games and Artificial Intelligence at Queen Mary University of London (UK), having achieved a PhD in Computer Science from the University of Essex (2015). He has published in the domain of Game AI, with interests on Reinforcement Learning and Evolutionary Computation. He organised several Game AI competitions, such as the Physical Traveling Salesman Problem and the General Video Game AI competitions, held in IEEE conferences. He has programming experience in the video games industry with titles published for game consoles and PC.
GAIG Publications
2023
2022
2021
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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
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2021
Portfolio Search and Optimization for General Strategy Game-Playing
Dockhorn, Alexander and Hurtado-Grueso, Jorge and Jeurissen, Dominik and Xu, Linjie and Perez-Liebana, Diego,
in arXiv:2104.10429,
2021.
pubs-2021
arxiv
ai
games
strategy-games
portfolio
optimisation
general-video-game-playing
ntbea
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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
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2021
Generating Diverse and Competitive Play-Styles for Strategy Games
Perez-Liebana, Diego and Guerrero-Romero, Cristina and Dockhorn, Alexander and Jeurissen, Dominik and Xu, Linjie,
in arXiv:2104.08641,
2021.
pubs-2021
arxiv
ai
games
strategy-games
tribes
mcts
map-elites
play-styles
portfolio
2020
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SKATG @ AIIDE
2020
STRATEGA: A General Strategy Games Framework
Dockhorn, Alexander and Grueso, Jorge Hurtado and Jeurissen, Dominik and Liebana, Diego Perez,
in AIIDE-20 Workshop on Artificial Intelligence for Strategy Games,
2020.
pubs-2020
aiide
strategy-games
general-video-game-playing
rhea
mcts
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SKATG @ AIIDE
2020
MCTS Pruning in Turn-Based Strategy Games
Hsu, Yu-Jhen and Liebana, Diego Perez,
in AIIDE-20 Workshop on Artificial Intelligence for Strategy Games,
2020.
pubs-2020
aiide
strategy-games
mcts
tribes
polytopia
rhea
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IEEE COG
2020
Evaluating Generalization in General Video Game Playing
Balla, M and Lucas, Simon and Perez-Liebana, D,
in IEEE Conference on Games (CoG),
2020.
pubs-2020
ieee-cog
gvgai
general-vide-game-playing
evaluation
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