Publications [110]

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2024 [0]

2023 [1]

• 2023 Posterior Sampling for Deep Reinforcement Learning
  Remo Sasso and Michelangelo Conserva and Paulo Rauber, in International Conference on Machine Learning, 2023.
  ICML'23
  
  

2022 [0]

2021 [14]

• PhD 2021 Rolling Horizon Evolutionary Algorithms for General Video Game Playing
  Raluca D. Gaina, PhD Thesis, Queen Mary University of London, UK, May, 2021.
  pubs-2021  thesis  ai  games  rhea  evolutionary-algorithms  optimisation
  
  
• 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
  
  
• AIIDE 2021 TAG: Terraforming Mars
  Raluca D. Gaina and James Goodman and Diego Perez-Liebana, in Proceedings of the 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2021.
  pubs-2021  aiide  game-analysis  tabletop-games  general-game-playing  rhea  mcts  terraforming-mars
  
  
• 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 Generalising Discrete Action Spaces with Conditional Action Trees
  Bamford, Christopher and Ovalle, Alvaro, in arXiv:2104.07294, 2021.
  pubs-2021  arxiv  strategy-games  reinforement-learning  action-spaces
  
  
• 2021 Griddly: A platform for AI research in games
  Bamford, Chris, in Software Impacts, 8, pp. 100066, 2021.
  pubs-2021  reinforcement-learning  griddly  strategy-games
  
  
• 2021 Rinascimento: searching the behaviour space of Splendor
  Bravi, Ivan and Lucas, Simon, in arxiv:2106.08371, 2021.
  pubs-2021  arxiv  splendor  map-elites
  
  
• 2021 The Road Less Travelled: Trying And Failing To Generate Walking Simulators
  Cook, Michael, in arXiv:2104.10789, 2021.
  pubs-2021  arxiv  walking-simulator  procedural-content-generation
  
  
• 2021 The Social Responsibility of Game AI
  Cook, Michael, in arXiv:2105.15122, 2021.
  pubs-2021  arxiv  social-responsibility
  
  
• 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 Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search
  Hagg, Alexander and Berns, Sebastian and Asteroth, Alexander and Colton, Simon and Back, Thomas, in arxiv:2105.04247, 2021.
  pubs-2021  arxiv  computational-creativity  quality-diversity  optimisation
  
  
• 2021 Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning
  Huang, Shengyi and Ontanon, Santiago and Bamford, Chris and Grela, Lukasz, in arXiv:2105.13807, 2021.
  pubs-2021  reinforcement-learning  strategy-games  microrts
  
  
• 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 [42]

• 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
  
  
• PhD 2020 Intrinsic Motivation in Computational Creativity Applied to Videogames
  Guckelsberger, Christian, PhD Thesis, Queen Mary University of London, UK, 2020.
  pubs-2020  thesis  intrinsic-motivation  computational-creativity  player-experience
  
  
• IWAI 2020 Modulation of viability signals for self-regulatory control
  Ovalle, Alvaro and Lucas, Simon M, in International Workshop on Active Inference, pp. 101-113, 2020.
  pubs-2020  ieee-cog  reinforcement-learning
  
  
• IEEE TOG 2020 Rolling Horizon Evolutionary Algorithms for General Video Game Playing
  Raluca D. Gaina and Sam Devlin and Diego Perez-Liebana and Simon M. Lucas, in arxiv:2003.12331, 2020.
  pubs-2020  gvgai  general-video-game-playing  ieee-tog  rhea  optimisation  ntbea
  
  
• IEEE TOG 2020 Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning
  Tang, Zhentao and Zhu, Yuanheng and Zhao, Dongbin and Lucas, Simon M, in IEEE Transactions on Games, 2020.
  pubs-2020  ieee-tog  rhea  opponent-modelling  evolutionary-algorithms  fighting-games
  
  
• 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
  
  
• IEEE COG 2020 Neural Game Engine: Accurate learning of generalizable forward models from pixels
  Bamford, Chris and Lucas, Simon M, in IEEE Conference on Games (CoG), pp. 81-88, 2020.
  pubs-2020  ieee-cog  reinforcement-learning  mcts  gvgai  general-video-game-playing  learning-forward-models
  
  
• IEEE COG 2020 Rinascimento: using event-value functions for playing Splendor
  Bravi, Ivan and Lucas, Simon M, in IEEE Conference on Games (CoG), pp. 283-290, 2020.
  pubs-2020  ieee-cog  splendor  artificial-general-intelligence  benchmark  game-playing  hyper-parameter  optimisation
  
  
• IEEE COG 2020 Procedural Generation and Information Games
  Cook, Michael, in IEEE Conference on Games (CoG), pp. 253-260, 2020.
  pubs-2020  ieee-cog  procedural-content-generation  computational-creativity  information-games
  
  
• IEEE COG 2020 Software Engineering For Automated Game Design
  Cook, Michael, in IEEE Conference on Games (CoG), pp. 487-494, 2020.
  pubs-2020  ieee-cog  game-design  procedural-content-generation  computational-creativity
  
  
• IEEE COG 2020 Local Forward Model Learning for GVGAI Games
  Dockhorn, Alexander and Lucas, Simon, in IEEE Conference on Games (CoG), pp. 716-723, 2020.
  pubs-2020  ieee-cog  forward-model-learning  general-video-game-playing  gvgai
  
  
• IEEE COG 2020 Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing
  Raluca D. Gaina and Chiara F. Sironi and Mark H.M. Winands and Diego Perez-Liebana and Simon M. Lucas, in IEEE Conference on Games (CoG), 2020.
  pubs-2020  ieee-cog  gvgai  general-vide-game-playing  rhea  optimisation
  
  
• IEEE COG 2020 Metagame Autobalancing for Competitive Multiplayer Games
  Hernandez, Daniel and Gbadamosi, Charles Takashi Toyin and Goodman, James and Walker, James Alfred, in IEEE Conference on Games (CoG), pp. 275-282, 2020.
  pubs-2020  ieee-cog  reinforcement-learning  game-balance  fighting-games
  
  
• IEEE COG 2020 Cross-Platform Games in Kotlin
  Lucas, Simon M, in IEEE Conference on Games (CoG), pp. 774-775, 2020.
  pubs-2020  ieee-cog  game-development
  
  
• IEEE COG 2020 Bootstrapped model learning and error correction for planning with uncertainty in model-based RL
  Ovalle, Alvaro and Lucas, Simon M, in IEEE Conference on Games (CoG), pp. 495-502, 2020.
  pubs-2020  ieee-cog  reinforcement-learning  rhea
  
  
• IEEE COG 2020 Rolling Horizon NEAT for General Video Game Playing
  Diego Perez-Liebana and Muhammad Sajid Alam and Raluca D. Gaina, in IEEE Conference on Games (CoG), 2020.
  pubs-2020  ieee-cog  gvgai  general-vide-game-playing  rhea  neat
  
  
• IEEE COG 2020 Practical Game Design Tool: State Explorer
  Volkovas, Rokas and Fairbank, Michael and Woodward, John R and Lucas, Simon, in IEEE Conference on Games (CoG), pp. 439-446, 2020.
  pubs-2020  ieee-cog  tools  game-design  visualisation
  
  
• IEEE CEC 2020 Does it matter how well I know what you’re thinking? Opponent Modelling in an RTS game
  Goodman, James and Lucas, Simon, in IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, 2020.
  pubs-2020  ieee-cec  opponent-modelling  strategy-games
  
  
• ICCC 2020 Bridging Generative Deep Learning and Computational Creativity
  Berns, Sebastian and Colton, Simon, in Proceedings of the 11th International Conference on Computational Creativity (ICCC’20), 2020.
  pubs-2020  iccc  computational-creativity  deep-learning
  
  
• ICCC 2020 Creativity Theatre for Demonstrable Computational Creativity
  Colton, Simon and McCormack, Jon and Cook, Michael and Berns, Sebastian, in Proceedings of the 11th International Conference on Computational Creativity (ICCC’20), pp. 288-291, 2020.
  pubs-2020  iccc  computational-creativity
  
  
• ICCC 2020 On the Machine Condition and its Creative Expression
  Colton, Simon and Pease, Alison and Guckelsberger, Christian and McCormack, Jon and Llano, Maria Teresa and others, in ICCC, pp. 342-349, 2020.
  pubs-2020  iccc  computational-creativity
  
  
• ICCC 2020 Explainable Computational Creativity
  Llano, Maria Teresa and d'Inverno, Mark and Yee-King, Matthew and McCormack, Jon and Ilsar, Alon and Pease, Alison and Colton, Simon, in 11th International Conference on Computational Creativity, pp. 334-341, 2020.
  pubs-2020  iccc  computational-creativity
  
  
• ICCC 2020 Casual Creators in the Wild: A Typology of Commercial Generative Creativity Support Tools
  Petrovskaya, Elena and Deterding, Christoph Sebastian and Colton, Simon, in Proceedings of the 11th International Conference on Computational Creativity (ICCC’20), 2020.
  pubs-2020  iccc  computational-creativity  tools  casual-creators
  
  
• GECCO 2020 Interactive evolution and exploration within latent level-design space of generative adversarial networks
  Schrum, Jacob and Gutierrez, Jake and Volz, Vanessa and Liu, Jialin and Lucas, Simon and Risi, Sebastian, in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pp. 148-156, 2020.
  pubs-2020  gecco  evolutionary-algorithms  procedural-content-generation  gan
  
  
• FDG 2020 Tabletop Roleplaying Games as Procedural Content Generators
  Guzdial, Matthew and Acharya, Devi and Kreminski, Max and Cook, Michael and Eladhari, Mirjam and Liapis, Antonios and Sullivan, Anne, in International Conference on the Foundations of Digital Games, pp. 1-9, 2020.
  pubs-2020  fdg  tabletop-games  procedural-content-generation
  
  
• EXAG @ AIIDE 2020 TAG: A Tabletop Games Framework
  Raluca D. Gaina and Martin Balla and Alexander Dockhorn and Raul Montoliu and Diego Perez-Liebana, in Experimental AI in Games (EXAG), AIIDE 2020 Workshop, 2020.
  pubs-2020  aiide  exag  tabletop-games  general-game-playing  rhea  mcts
  
  
• Evo* 2020 Adapting and Enhancing Evolutionary Art for Casual Creation
  Colton, Simon and McCormack, Jon and Cook, Michael and Berns, Sebastian, in International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar), pp. 17-34, 2020.
  pubs-2020  evo-star  computational-creativity  art  casual-creators
  
  
• Evo* 2020 Evolving Neural Style Transfer Blends
  Colton, Simon, in 10th International Conference, EvoMUSART (part of EvoStar), 12693, pp. 65, 2020.
  pubs-2020  evostar  computational-creativity  art  evolutionary-algorithms  style-transfer
  
  
• Evo* 2020 Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game
  Raul Montoliu and Raluca D. Gaina and Diego Perez-Liebana and Daniel Delgado and Simon M. Lucas, in International Conference on the Applications of Evolutionary Computation (EvoStar), 12104, pp. 403-418, 2020.
  pubs-2020  optimisation  evo-star  ntbea  card-games  oep  emcts
  
  
• Evo* 2020 Controlling Self-organization in Generative Creative Systems
  Young, Jonathan and Colton, Simon, in International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar), pp. 194-209, 2020.
  pubs-2020  evostar  computational-creativity
  
  
• 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
  
  
• 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 The hidden intricacy of loot box design: A granular description of random monetized reward features
  Ballou, Nick and Gbadamosi, Charles and Zendle, David, 2020.
  pubs-2020  psyarxiv  loot-boxes
  
  
• 2020 Generative Forensics: Procedural Generation and Information Games
  Cook, Michael, in arXiv:2004.01768, 2020.
  pubs-2020  arxiv  procedural-content-generation  information-games
  
  
• 2020 Design and Implemenation of TAG: A Tabletop Games Framework
  Raluca D. Gaina and Martin Balla and Alexander Dockhorn and Raul Montoliu and Diego Perez-Liebana, in arxiv:2009.12065, 2020.
  pubs-2020  arxiv  tabletop-games  general-game-playing  rhea  mcts
  
  
• 2020 AI and Wargaming
  Goodman, James and Risi, Sebastian and Lucas, Simon, in arxiv:2009.08922, 2020.
  pubs-2020  arxiv  war-games
  
  
• 2020 Weighting NTBEA for Game AI Optimisation
  Goodman, James and Lucas, Simon, in arXiv:2003.10378, 2020.
  pubs-2020  arxiv  optimisation  evolutionary-algorithms  ntbea
  
  
• 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 Abstract Forward Models
  Diego Perez-Liebana and Raluca D. Gaina and Tommy Thompson, in Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511), 9, pp. 67-114, 2020.
  pubs-2020  dagstuhl  abstract  forward-model  mcts  rhea  pommerman
  
  
• 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 [31]

• IEEE TOG 2019 General Video Game AI: a Multi-Track Framework for Evaluating Agents Games and Content Generation Algorithms
  Diego Perez-Liebana and Jialin Liu and Ahmed Khalifa and Raluca D. Gaina and Julian Togelius and Simon M. Lucas, in IEEE Transactions on Games, 11, pp. 195-214, Sep, 2019.
  pubs-2019  gvgai  general-video-game-playing  ieee-tog
  
  
• IEEE TEVC 2019 A survey of statistical machine learning elements in genetic programming
  Agapitos, Alexandros and Loughran, Roisin and Nicolau, Miguel and Lucas, Simon and O’Neill, Michael and Brabazon, Anthony, in IEEE Transactions on Evolutionary Computation, 23, pp. 1029-1048, 2019.
  pubs-2019  ieee-tevc  genetic-programming  machine-learning
  
  
• 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 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 Hyperstate Space Graphs for Automated Game Analysis
  Cook, Michael and Raad, Azalea, in IEEE Conference on Games (CoG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  computational-creativity
  
  
• IEEE COG 2019 Learning Local Forward Models on Unforgiving Games
  Alexander Dockhorn and Simon M Lucas and Vanessa Volz and Ivan Bravi and Raluca D. Gaina and Diego Perez-Liebana, in IEEE Conference on Games (COG), pp. 1-4, 2019.
  pubs-2019  ieee-cog  forward-model-learning
  
  
• IEEE COG 2019 Optimising Level Generators for General Video Game AI
  Olve Drageset and Raluca D. Gaina and Diego Perez-Liebana and Mark H.M. Winands, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  gvgai  ieee-cog  level-generation  procedural-content-generation
  
  
• IEEE COG 2019 'Did You Hear That?' Learning to Play Video Games from Audio Cues
  Raluca D. Gaina and Matthew Stephenson, in IEEE Conference on Games (COG), pp. 1-4, 2019.
  pubs-2019  audio  gvgai  general-video-game-playing  ieee-cog  reinforcement-learning
  
  
• IEEE COG 2019 Project Thyia: A Forever Gameplayer
  Raluca D. Gaina and Simon M. Lucas and Diego Perez-Liebana, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  gvgai  general-video-game-playing  ieee-cog  rhea
  
  
• 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 A Local Approach to Forward Model Learning: Results on the Game of Life Game
  Simon M Lucas and Alexander Dockhorn and Vanessa Volz and Chris Bamford and Raluca D. Gaina and Ivan Bravi and Diego Perez-Liebana and Sanaz Mostaghim and Rudolf Kruse, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  forward-model-learning
  
  
• IEEE COG 2019 Towards Liveness in Game Development
  Martin, Andrew R and Colton, Simon, in IEEE Conference on Games (COG), pp. 1-4, 2019.
  pubs-2019  ieee-cog  game-development
  
  
• 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
  
  
• IEEE COG 2019 Exploring User Motor Behaviour in Bimanual Interactive Video Games
  Perez, N Pena and Tokarchuk, Laurissa and Burdet, Etienne and Farkhatdinov, Ildar, in IEEE Conference on Games (COG), pp. 1-7, 2019.
  pubs-2019  ieee-cog  rehabilitation  bimanual-coordination  motor-behaviour
  
  
• IEEE COG 2019 The Games Fusion Project: Competencies for Game Design
  Shoop, Karen and Lowthorpe, Chris and Anderson, Larra and Lucas, Simon, in IEEE Conference on Games (CoG), pp. 1-4, 2019.
  pubs-2019  ieee-cog  game-design
  
  
• IEEE COG 2019 Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games
  Volkovas, Rokas and Fairbank, Michael and Woodward, John R and Lucas, Simon, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  tools  visualisation
  
  
• IEEE COG 2019 Modelling Player Preferences in AR Mobile Games
  Warriar, Vivek R and Woodward, John R and Tokarchuk, Laurissa, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  augmented-reality  mobile-games  player-preference-modelling  content-creation  player-experience  preference-learning  linear-classifiers
  
  
• IEEE COG 2019 PlayMapper: Illuminating Design Spaces of Platform Games
  Warriar, Vivek R and Ugarte, Carmen and Woodward, John R and Tokarchuk, Laurissa, in IEEE Conference on Games (COG), pp. 1-8, 2019.
  pubs-2019  ieee-cog  map-elites  procedural-content-generation  platformer-games  evolutionary-algorithms
  
  
• ICCC 2019 The HR3 System for Automated Code Generation in Creative Settings
  Colton, Simon and Pease, Alison and Cook, Michael and Chen, Chunyang, in Proceedings of the 10th ICCC, 2019.
  pubs-2019  iccc  computational-creativity
  
  
• ICCC 2019 Framing In Computational Creativity-A Survey And Taxonomy
  Cook, Michael and Colton, Simon and Pease, Alison and Llano, Maria Teresa, in Proceedings of the 10th ICCC, pp. 156-163, 2019.
  pubs-2019  iccc  computational-creativity
  
  
• ICCC 2019 The importance of applying computational creativity to scientific and mathematical domains
  Pease, Alison and Colton, Simon and Warburton, Chris and Nathanail, Athanasios and Preda, Irina and Arnold, Daniel and Winterstein, Daniel and Cook, Mike, in 10th International Conference on Computational Creativity, pp. 250-257, 2019.
  pubs-2019  iccc  computational-creativity
  
  
• GECCO 2019 Game AI Hyperparameter Tuning in Rinascimento
  Bravi, Ivan and Volz, Vanessa and Lucas, Simon, in Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 1742-1746, 2019.
  pubs-2019  gecco  splendor  optimisation  evolutionary-algorithms
  
  
• GECCO 2019 Tile Pattern KL-Divergence for Analysing and Evolving Game Levels
  Lucas, Simon M and Volz, Vanessa, in Proceedings of the Genetic and Evolutionary Computation Conference, pp. 170-178, 2019.
  pubs-2019  gecco  procedural-content-generation  evolutionary-algorithms
  
  
• GameSim @ AAAI 2019 Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best
  Simon M Lucas and Jialin Liu and Ivan Bravi and Raluca D. Gaina and John Woodward and Vanessa Volz and Diego Perez-Liebana, in Game Simulations Workshop (AAAI), 2019.
  pubs-2019  aaai  rhea  optimisation  ntbea
  
  
• Evo* 2019 Camera Obscurer: Generative Art for Design Inspiration
  Singh, Dilpreet and Rajcic, Nina and Colton, Simon and McCormack, Jon, in International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar), pp. 51-68, 2019.
  pubs-2019  arxiv  evo-star  computational-creativity  game-design  art
  
  
• CEEC 2019 Extracting learning curves from puzzle games
  Volkovas, Rokas and Fairbank, Michael and Woodward, John R and Lucas, Simon, in 11th Computer Science and Electronic Engineering (CEEC), pp. 150-155, 2019.
  pubs-2019  ceec  learning-curves  puzzle-games
  
  
• BOOK 2019 General Video Game Artificial Intelligence
  Diego Perez-Liebana and Simon M. Lucas and Raluca D. Gaina and Julian Togelius and Ahmed Khalifa and Jialin Liu, 2019.
  pubs-2019  gvgai  general-video-game-playing  book
  
  
• AIIDE 2019 Analysis of Statistical Forward Planning Methods in Pommerman
  Diego Perez-Liebana and Raluca D. Gaina and Olve Drageset and Ercument Ilhan and Martin Balla and Simon M. Lucas, in Proceedings of the Artificial intelligence and Interactive Digital Entertainment (AIIDE), 15, pp. 66-72, 2019.
  pubs-2019  aiide  pommerman  rhea  mcts
  
  
• AAAI 2019 Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods
  Raluca D. Gaina and Simon M. Lucas and Diego Perez-Liebana, in AAAI Conference on Artificial Intelligence (AAAI-19), 33, pp. 1691-1698, 2019.
  pubs-2019  sparse-rewards  gvgai  general-video-game-playing  aaai  rhea  mcts
  
  
• 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 [20]

• 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 General Win Prediction from Agent Experience
  Raluca D. Gaina and Simon M. Lucas and Diego Perez-Liebana, in Proc. of the IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-8, Aug, 2018.
  pubs-2018  gvgai  general-video-game-playing  win-prediction  ieee-cog  rhea  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 Game AI Research with Fast Planet Wars Variants
  Lucas, Simon M, in IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-4, 2018.
  pubs-2018  ieee-cog  strategy-games  planet-wars
  
  
• 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
  
  
• GECCO 2018 Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
  Volz, Vanessa and Schrum, Jacob and Liu, Jialin and Lucas, Simon M and Smith, Adam and Risi, Sebastian, in Proceedings of the genetic and evolutionary computation conference, pp. 221-228, 2018.
  pubs-2018  gecco  mario  platformer-games  gan
  
  
• 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
  
  
• Evo* 2018 Self-adaptive MCTS for General Video Game Playing
  Chiara F. Sironi and Jialin Liu and Diego Perez-Liebana and Raluca D. Gaina and Ivan Bravi and Simon M. Lucas and Mark H. M. Winands, in Applications of Evolutionary Computation, pp. 358-375, 2018.
  pubs-2018  gvgai  general-video-game-playing  optimisation  evo-star  mcts
  
  
• AIIDE 2018 VERTIGO: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI
  Raluca D. Gaina and Simon M. Lucas and Diego Perez-Liebana, in The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 265-267, 2018.
  pubs-2018  gvgai  general-video-game-playing  aiide  visualisation
  
  
• 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 Game Search Space Design and Representation
  Dan Ashlock and Cameron Browne and Simon Colton and Amy Hoover and Jialin Liu and Simon Lucas and Mark nelson and Diego Perez-Liebana and Senastian Risi and Jacob Schrum and Adam Smith and Julian Togelius and Vanessa Volz, in Artificial and Computational Intelligence in Games: AI-Driven Game Design (Dagstuhl Seminar 17471), 7, pp. 86-129, 2018.
  pubs-2018  dagstuhl  search-space  game-design  representation
  
  
• 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
  
  
• 2018 Procedural Content Generation for Minecraft
  Christoph Salge and Alan Blair and Alex J. Champandard and Michael Cook and Raluca D. Gaina and Diego Perez-Liebana and Jacob Shrum and Emily Short and Vanessa Volz, in Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511), 9, pp. 67-114, 2018.
  pubs-2020  dagstuhl  minecraft  procedural-content-generation
  
  
• 2018 AI for Accessibility in Games
  Tommy Thompson and Bruno Bouzy and Alex J. Champandard and Michael Cook and Diego Perez-Liebana and Emily Short, in Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511), 9, pp. 67-114, 2018.
  pubs-2020  dagstuhl  accessibility
  
  

2017 [2]

• 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