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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.

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GAIG Publications

2024

2023

2022

2021

• 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 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
  
  
• 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
  
  
• 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

• 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
  
  
• 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
  
  
• 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
  
  
• AIIDE 2020 Studying General Agents in Video Games from the Perspective of Player Experience
  Guerrero-Romero, Cristina and Kumari, Shringi and Perez-Liebana, Diego and Deterding, Sebastian, in Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 16, pp. 217-223, 2020.
  pubs-2020  aiide  player-experience  gvgai
  
  
• AIIDE 2020 Tribes: A New Turn-Based Strategy Game for AI
  Diego Perez Liebana and Yu-Jhen Hsu and Stavros Emmanouilidis and Bobby Khaleque and Raluca Gaina, in Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20), 2020.
  pubs-2020  aiide  tribes  polytopia  rhea  mcts
  
  
• 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
  
  
• 2020 The Design Of Stratega: A General Strategy Games Framework
  Perez-Liebana, Diego and Dockhorn, Alexander and Hurtado-Grueso, Jorge and Jeurissen, Dominik, in arXiv:2009.05643, 2020.
  pubs-2020  arxiv  strategy-games  general-video-game-playing  rhea  mcts
  
  

2019

• IEEE COG 2019 Ensemble Decision Systems for General Video Game Playing
  Anderson, Damien and Rodgers, Philip and Levine, John and Guerrero-Romero, Cristina and Perez-Liebana, Diego, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  gvgai  ensemble-decision-systems
  
  
• IEEE COG 2019 Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor
  Bravi, Ivan and Perez-Liebana, Diego and Lucas, Simon M and Liu, Jialin, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  splendor  optimisation
  
  
• 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
  
  
• IEEE COG 2019 Evolving Game State Evaluation Functions for a Hybrid Planning Approach
  Neufeld, Xenija and Mostaghim, Sanaz and Perez-Liebana, Diego, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  evolutionary-algorithms  evaluation  microrts  mcts  strategy-games
  
  
• 2019 NeurIPS 2019 Competition: The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
  Guss, William H and Codel, Cayden and Hofmann, Katja and Houghton, Brandon and Kuno, Noboru and Milani, Stephanie and Mohanty, Sharada and Perez Liebana, Diego and Salakhutdinov, Ruslan and Topin, Nicholay and others, in arXiv:1904.10079, 2019.
  pubs-2019  arxiv  minecraft  reinforcement-learning  neurips
  
  

2018

• IEEE TOG 2018 The 2016 Two-Player GVGAI Competition
  Gaina, Raluca D. and Couetoux, Adrien and Soemers, Dennis J.N.J. and Winands, Mark H.M. and Vodopivec, Tom and Kirchgessner, Florian and Liu, Jialin and Lucas, Simon M. and Perez-Liebana, Diego, in IEEE Transactions on Games, 10, pp. 209-220, June, 2018.
  pubs-2018  gvgai  two-player  general-video-game-playing  ieee-tog  rhea  mcts
  
  
• IEEE COG 2018 Toward General Mathematical Game Playing Agents
  Ashlock, Daniel and Kim, Eun-Youn and Perez-Lebana, Diego, in Proc. of the IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-7, Aug, 2018.
  pubs-2018  ieee-cog  general-video-game-playing  mathematical-games
  
  
• IEEE COG 2018 Shallow decision-making analysis in General Video Game Playing
  Bravi, Ivan and Perez-Liebana, Diego and Lucas, Simon M and Liu, Jialin, in Proc. of the IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-8, Aug, 2018.
  pubs-2018  ieee-cog  gvgai  general-video-game-playing  analysis  mcts
  
  
• IEEE COG 2018 Using a Team of General AI Algorithms to Assist Game Design and Testing
  Guerrero-Romero, Cristina and Lucas, Simon M and Perez-Liebana, Diego, in Proc. of the IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-8, Aug, 2018.
  pubs-2018  ieee-cog  general-video-game-playing  game-design  game-testing
  
  
• IEEE COG 2018 Deep Reinforcement Learning for General Video Game AI
  Torrado, Ruben Rodriguez and Bontrager, Philip and Togelius, Julian and Liu, Jialin and Perez-Liebana, Diego, in Proc. of the IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-8, Aug, 2018.
  pubs-2018  gvgai  general-video-game-playing  ieee-cog  reinforcement-learning
  
  
• IEEE CEC 2018 The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation
  Lucas, Simon M and Liu, Jialin and Perez-Liebana, Diego, in IEEE Congress on Evolutionary Computation (CEC), pp. 1-9, 2018.
  pubs-2018  ieee-cec  optimisation  ntbea  evolutionary-algorithms
  
  
• FDG 2018 Studying Believability Assessment in Racing Games
  Pacheco, Cristiana and Tokarchuk, Laurissa and Perez-Liebana, Diego, in Proceedings of the 13th International Conference on the Foundations of Digital Games, pp. 1-10, 2018.
  pubs-2018  fdg  racing-games  believability
  
  
• AIIDE 2018 Modeling Player Experience with the N-Tuple Bandit Evolutionary Algorithm
  Kunanusont, Kamolwan and Lucas, Simon Mark and Perez-Liebana, Diego, in The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018.
  pubs-2018  gvgai  aiide  player-experience  ntbea
  
  
• CiML @ NeurIPS 2018 The Multi-Agent Reinforcement Learning in MalmO (MARLO) Competition
  Perez-Liebana, Diego and Hofmann, Katja and Mohanty, Sharada Prasanna and Kuno, Noburu and Kramer, Andre and Devlin, Sam and Gaina, Raluca D and Ionita, Daniel, in Challenges in Machine Learning (CiML; NeurIPS Workshop), pp. 1-4, 2018.
  pubs-2018  marlo  reinforcement-learning  multi-agent  neurips  ciml  competition
  
  
• 2018 Evolving behaviour tree structures using grammatical evolution
  Perez-Liebana, Diego and Nicolau, Miguel, in Handbook of Grammatical Evolution, pp. 433-460, 2018.
  pubs-2018  evolutionary-algorithms  grammatical-evolution  book  mario
  
  
• 2018 A General Language for Matching Tile Games
  Julian Togelius and Cameron Browne and Simon Colton and Mark J. Nelson and Diego Perez Liebana, in Artificial and Computational Intelligence in Games: AI-Driven Game Design (Dagstuhl Seminar 17471), 7, pp. 86-129, 2018.
  pubs-2018  dagstuhl  tile-matching  game-description-language
  
  
• 2018 Gameplay Evaluation Measures
  Vanessa Volz and Dan Ashlock and Simon Colton and Steve Dahlskog and Jialin Liu and Simon M. Lucas and Diego Perez Liebana and Tommy Thompson, in Artificial and Computational Intelligence in Games: AI-Driven Game Design (Dagstuhl Seminar 17471), 7, pp. 86-129, 2018.
  pubs-2018  dagstuhl  evaluation  gvgai
  
  

2017

• SSCI 2017 Efficient Noisy Optimisation with the Multi-Sample and Sliding Window Compact Genetic Algorithms
  Lucas, Simon M and Liu, Jialin and Perez-Liebana, Diego, in IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8, 2017.
  pubs-2017  ssci  genetic-algorithm  evolutionary-algorithm  optimisation
  
  
• IEEE TOG 2017 Pac-Man Conquers Academia: Two Decades of Research Using a Classic Arcade Game
  Rohlfshagen, Philipp and Liu, Jialin and Perez-Liebana, Diego and Lucas, Simon M, in IEEE Transactions on Games, 10, pp. 233-256, 2017.
  pubs-2017  ieee-tog  pac-man  arcade-games