The WCCI 2008 simulated car racing competition. - Daniele Loiacono; Julian Togelius; Pier Luca Lanzi; Leonard Kinnaird-Heether; Simon M. Lucas; Matt Simmerson; Diego Perez Liebana; Robert G. Reynolds; Yago Sáez (CIG, 2008)

Evolving a rule system controller for automatic driving in a car racing competition. - Diego Perez Liebana; Yago Sáez; Gustavo Recio; Pedro Isasi (CIG, 2008)

Driving Cars by Means of Genetic Algorithms. - Yago Sáez; Diego Perez Liebana; Oscar Sanjuán Martínez; Pedro Isasi (PPSN, 2008)

Evolving a fuzzy controller for a Car Racing Competition. - Diego Perez Liebana; Gustavo Recio; Yago Sáez; Pedro Isasi (CIG, 2009)

The 2009 Simulated Car Racing Championship. - Daniele Loiacono; Pier Luca Lanzi; Julian Togelius; Enrique Onieva; David A. Pelta; Martin V. Butz; Thies D. Lönneker; Luigi Cardamone; Diego Perez Liebana; Yago Sáez; Mike Preuss; Jan Quadflieg (IEEE Trans. Comput. Intell. AI Games, 2010)

Reactiveness and navigation in computer games: Different needs, different approaches. - Diego Perez Liebana; Miguel Nicolau; Michael O'Neill 001; Anthony Brabazon (CIG, 2011)

Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution. - Diego Perez Liebana; Miguel Nicolau; Michael O'Neill 001; Anthony Brabazon (EvoApplications (1), 2011)

The physical travelling salesman problem: WCCI 2012 competition. - Diego Perez Liebana; Philipp Rohlfshagen; Simon M. Lucas (IEEE Congress on Evolutionary Computation, 2012)

Towards more intelligent adaptive video game agents: a computational intelligence perspective. - Simon M. Lucas; Philipp Rohlfshagen; Diego Perez Liebana (Conf. Computing Frontiers, 2012)

Monte Carlo Tree Search: Long-term versus short-term planning. - Diego Perez Liebana; Philipp Rohlfshagen; Simon M. Lucas (CIG, 2012)

Monte-Carlo Tree Search for the Physical Travelling Salesman Problem. - Diego Perez Liebana; Philipp Rohlfshagen; Simon M. Lucas (EvoApplications, 2012)

A Survey of Monte Carlo Tree Search Methods. - Cameron Browne; Edward Jack Powley; Daniel Whitehouse; Simon M. Lucas; Peter I. Cowling; Philipp Rohlfshagen; Stephen Tavener; Diego Perez Liebana; Spyridon Samothrakis; Simon Colton (IEEE Trans. Comput. Intell. AI Games, 2012)

Online and offline learning in multi-objective Monte Carlo Tree Search. - Diego Perez Liebana; Spyridon Samothrakis; Simon M. Lucas (CIG, 2013)

Rolling horizon evolution versus tree search for navigation in single-player real-time games. - Diego Perez Liebana; Spyridon Samothrakis; Simon M. Lucas; Philipp Rohlfshagen (GECCO, 2013)

The 2013 Multi-objective Physical Travelling Salesman Problem Competition. - Diego Perez Liebana; Edward Jack Powley; Daniel Whitehouse; Spyridon Samothrakis; Simon M. Lucas; Peter I. Cowling (IEEE Congress on Evolutionary Computation, 2014)

Knowledge-based fast evolutionary MCTS for general video game playing. - Diego Perez Liebana; Spyridon Samothrakis; Simon M. Lucas (CIG, 2014)

Rolling horizon methods for games with continuous states and actions. - Spyridon Samothrakis; Samuel A. Roberts; Diego Perez Liebana; Simon M. Lucas (CIG, 2014)

Fast Evolutionary Adaptation for Monte Carlo Tree Search. - Simon M. Lucas; Spyridon Samothrakis; Diego Perez Liebana (EvoApplications, 2014)

Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions. - Diego Perez Liebana; Edward Jack Powley; Daniel Whitehouse; Philipp Rohlfshagen; Spyridon Samothrakis; Peter I. Cowling; Simon M. Lucas (IEEE Trans. Comput. Intell. AI Games, 2014)

Automated Map Generation for the Physical Traveling Salesman Problem. - Diego Perez Liebana; Julian Togelius; Spyridon Samothrakis; Philipp Rohlfshagen; Simon M. Lucas (IEEE Trans. Evol. Comput., 2014)

Neuroevolution for General Video Game Playing. - Spyridon Samothrakis; Diego Perez Liebana; Simon M. Lucas; Maria Fasli (CIG, 2015)

Open Loop Search for General Video Game Playing. - Diego Perez Liebana; Jens Dieskau; Martin Hunermund; Sanaz Mostaghim; Simon M. Lucas (GECCO, 2015)

Multiobjective Monte Carlo Tree Search for Real-Time Games. - Diego Perez Liebana; Sanaz Mostaghim; Spyridon Samothrakis; Simon M. Lucas (IEEE Trans. Comput. Intell. AI Games, 2015)

General Video Game AI: Competition, Challenges and Opportunities. - Diego Perez Liebana; Spyridon Samothrakis; Julian Togelius; Tom Schaul; Simon M. Lucas (AAAI, 2016)

Multi-objective tree search approaches for general video game playing. - Diego Perez Liebana; Sanaz Mostaghim; Simon M. Lucas (CEC, 2016)

Rolling Horizon Coevolutionary planning for two-player video games. - Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (CEEC, 2016)

General Video Game for 2 players: Framework and competition. - Raluca D. Gaina; Diego Perez Liebana; Simon M. Lucas (CEEC, 2016)

MCTS/EA hybrid GVGAI players and game difficulty estimation. - Hendrik Horn; Vanessa Volz; Diego Perez Liebana; Mike Preuss (CIG, 2016)

Analyzing the robustness of general video game playing agents. - Diego Perez Liebana; Spyridon Samothrakis; Julian Togelius; Tom Schaul; Simon M. Lucas (CIG, 2016)

Ms. Pac-Man Versus Ghost Team CIG 2016 competition. - Piers R. Williams; Diego Perez Liebana; Simon M. Lucas (CIG, 2016)

General Video Game Level Generation. - Ahmed Khalifa 001; Diego Perez Liebana; Simon M. Lucas; Julian Togelius (GECCO, 2016)

Optimal resampling for the noisy OneMax problem. - Jialin Liu 001; Michael Fairbank; Diego Perez Liebana; Simon M. Lucas (CoRR, 2016)

The 2014 General Video Game Playing Competition. - Diego Perez Liebana; Spyridon Samothrakis; Julian Togelius; Tom Schaul; Simon M. Lucas; Adrien Couëtoux; Jerry Lee; Chong-U Lim; Tommy Thompson (IEEE Trans. Comput. Intell. AI Games, 2016)

Predicting Dominance Rankings for Score-Based Games. - Spyridon Samothrakis; Diego Perez Liebana; Simon M. Lucas; Philipp Rohlfshagen (IEEE Trans. Comput. Intell. AI Games, 2016)

Population seeding techniques for Rolling Horizon Evolution in General Video Game Playing. - Raluca D. Gaina; Simon M. Lucas; Diego Perez Liebana (CEC, 2017)

The N-Tuple bandit evolutionary algorithm for automatic game improvement. - Kamolwan Kunanusont; Raluca D. Gaina; Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (CEC, 2017)

General Video Game AI: Learning from screen capture. - Kamolwan Kunanusont; Simon M. Lucas; Diego Perez Liebana (CEC, 2017)

Bandit-based Random Mutation Hill-Climbing. - Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (CEC, 2017)

Evolving Game Skill-Depth using General Video Game AI agents. - Jialin Liu 001; Julian Togelius; Diego Perez Liebana; Simon M. Lucas (CEC, 2017)

Evaluating and modelling Hanabi-playing agents. - Joseph Walton-Rivers; Piers R. Williams; Richard A. Bartle; Diego Perez Liebana; Simon M. Lucas (CEC, 2017)

Opponent models comparison for 2 players in GVGAI competitions. - Jose Manuel Gonzalez-Castro; Diego Perez Liebana (CEEC, 2017)

HTN fighter: Planning in a highly-dynamic game. - Xenija Neufeld; Sanaz Mostaghim; Diego Perez Liebana (CEEC, 2017)

Diversity maintenance using a population of repelling random-mutation hill climbers. - Rokas Volkovas; Michael Fairbank; Diego Perez Liebana (CEEC, 2017)

General video game playing escapes the no free lunch theorem. - Daniel A. Ashlock; Diego Pérez-Liébana; Amanda Saunders (CIG, 2017)

Rolling horizon evolution enhancements in general video game playing. - Raluca D. Gaina; Simon M. Lucas; Diego Perez Liebana (CIG, 2017)

Beyond playing to win: Diversifying heuristics for GVGAI. - Cristina Guerrero-Romero; Annie Louis; Diego Perez Liebana (CIG, 2017)

Building an automatic sprite generator with deep convolutional generative adversarial networks. - Lewis Horsley; Diego Perez Liebana (CIG, 2017)

General video game rule generation. - Ahmed Khalifa 001; Michael Cerny Green; Diego Perez Liebana; Julian Togelius (CIG, 2017)

Introducing real world physics and macro-actions to general video game ai. - Diego Perez Liebana; Matthew Stephenson; Raluca D. Gaina; Jochen Renz; Simon M. Lucas (CIG, 2017)

Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. - Raluca D. Gaina; Jialin Liu 001; Simon M. Lucas; Diego Pérez-Liébana (EvoApplications (1), 2017)

Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (SSCI, 2017)

Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (CoRR, 2017)

Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (CoRR, 2017)

Default policies for global optimisation of noisy functions with severe noise. - Spyridon Samothrakis; Maria Fasli; Diego Perez Liebana; Simon M. Lucas (J. Glob. Optim., 2017)

Evolutionary Behavior Tree Approaches for Navigating Platform Games. - Miguel Nicolau; Diego Perez Liebana; Michael O'Neill 001; Anthony Brabazon (IEEE Trans. Comput. Intell. AI Games, 2017)

Evolving Behaviour Tree Structures Using Grammatical Evolution. - Diego Pérez-Liébana; Miguel Nicolau (Handbook of Grammatical Evolution, 2018)

VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI. - Raluca D. Gaina; Simon M. Lucas; Diego Pérez-Liébana (AIIDE, 2018)

Modeling Player Experience with the N-Tuple Bandit Evolutionary Algorithm. - Kamolwan Kunanusont; Simon Mark Lucas; Diego Pérez-Liébana (AIIDE, 2018)

The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. - Simon M. Lucas; Jialin Liu 001; Diego Pérez-Liébana (CEC, 2018)

Toward General Mathematical Game Playing Agents. - Daniel A. Ashlock; Eun-Youn Kim; Diego Pérez-Liébana (CIG, 2018)

Shallow Decision-Making Analysis in General Video Game Playing. - Ivan Bravi; Diego Perez Liebana; Simon M. Lucas; Jialin Liu 001 (CIG, 2018)

General Win Prediction from Agent Experience. - Raluca D. Gaina; Simon M. Lucas; Diego Pérez-Liébana (CIG, 2018)

Using a Team of General AI Algorithms to Assist Game Design and Testing. - Cristina Guerrero-Romero; Simon M. Lucas; Diego Pérez-Liébana (CIG, 2018)

Deep Reinforcement Learning for General Video Game AI. - Ruben Rodriguez Torrado; Philip Bontrager; Julian Togelius; Jialin Liu 001; Diego Pérez-Liébana (CIG, 2018)

Self-adaptive MCTS for General Video Game Playing. - Chiara F. Sironi; Jialin Liu 001; Diego Perez Liebana; Raluca D. Gaina; Ivan Bravi; Simon M. Lucas; Mark H. M. Winands (EvoApplications, 2018)

Studying believability assessment in racing games. - Cristiana Pacheco; Laurissa N. Tokarchuk; Diego Pérez-Liébana (FDG, 2018)

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. - Diego Pérez-Liébana; Jialin Liu 001; Ahmed Khalifa 001; Raluca D. Gaina; Julian Togelius; Simon M. Lucas (CoRR, 2018)

The 2016 Two-Player GVGAI Competition. - Raluca D. Gaina; Adrien Couëtoux; Dennis J. N. J. Soemers; Mark H. M. Winands; Tom Vodopivec; Florian Kirchgeßner; Jialin Liu 001; Simon M. Lucas; Diego Pérez-Liébana (IEEE Trans. Games, 2018)

Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game. - Philipp Rohlfshagen; Jialin Liu 001; Diego Perez Liebana; Simon M. Lucas (IEEE Trans. Games, 2018)

Training Gradient Boosting Machines Using Curve-Fitting and Information-Theoretic Features for Causal Direction Detection. - Spyridon Samothrakis; Diego Perez Liebana; Simon M. Lucas (Cause Effect Pairs in Machine Learning, 2019)

Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. - Raluca D. Gaina; Simon M. Lucas; Diego Pérez-Liébana (AAAI, 2019)

Analysis of Statistical Forward Planning Methods in Pommerman. - Diego Perez Liebana; Raluca D. Gaina; Olve Drageset; Ercüment Ilhan; Martin Balla; Simon M. Lucas (AIIDE, 2019)

Ensemble Decision Systems for General Video Game Playing. - Damien Anderson; Philip Rodgers; John Levine; Cristina Guerrero-Romero; Diego Perez Liebana (CoG, 2019)

Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. - Ivan Bravi; Diego Perez Liebana; Simon M. Lucas; Jialin Liu 001 (CoG, 2019)

Learning Local Forward Models on Unforgiving Games. - Alexander Dockhorn; Simon M. Lucas; Vanessa Volz; Ivan Bravi; Raluca D. Gaina; Diego Perez Liebana (CoG, 2019)

Optimising Level Generators for General Video Game AI. - Olve Drageset; Mark H. M. Winands; Raluca D. Gaina; Diego Perez Liebana (CoG, 2019)

Project Thyia: A Forever Gameplayer. - Raluca D. Gaina; Simon M. Lucas; Diego Pérez-Liébana (CoG, 2019)

Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. - Ercüment Ilhan; Jeremy Gow; Diego Pérez-Liébana (CoG, 2019)

A Local Approach to Forward Model Learning: Results on the Game of Life Game. - Simon M. Lucas; Alexander Dockhorn; Vanessa Volz; Chris Bamford 001; Raluca D. Gaina; Ivan Bravi; Diego Pérez-Liébana; Sanaz Mostaghim; Rudolf Kruse (CoG, 2019)

Evolving Game State Evaluation Functions for a Hybrid Planning Approach. - Xenija Neufeld; Sanaz Mostaghim; Diego Perez Liebana (CoG, 2019)

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. - Simon M. Lucas; Jialin Liu 001; Ivan Bravi; Raluca D. Gaina; John R. Woodward; Vanessa Volz; Diego Perez Liebana (CoRR, 2019)

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition. - Diego Pérez-Liébana; Katja Hofmann; Sharada Prasanna Mohanty; Noburu Kuno; André Kramer; Sam Devlin; Raluca D. Gaina; Daniel Ionita (CoRR, 2019)

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. - William H. Guss; Cayden R. Codel; Katja Hofmann; Brandon Houghton; Noburu Kuno; Stephanie Milani; Sharada P. Mohanty; Diego Perez Liebana; Ruslan Salakhutdinov; Nicholay Topin; Manuela Veloso; Phillip Wang (CoRR, 2019)

Guest Editorial Special Issue on Game Competition Frameworks for Research and Education. - Jialin Liu 001; Diego Pérez-Liébana; Tristan Cazenave; Ruck Thawonmas (IEEE Trans. Games, 2019)

General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms. - Diego Pérez-Liébana; Jialin Liu 001; Ahmed Khalifa 001; Raluca D. Gaina; Julian Togelius; Simon M. Lucas (IEEE Trans. Games, 2019)

General Video Game Artificial Intelligence - Diego Pérez-Liébana; Simon M. Lucas; Raluca D. Gaina; Julian Togelius; Ahmed Khalifa 001; Jialin Liu 001 (Morgan & Claypool Publishers, 2019)

STRATEGA: A General Strategy Games Framework. - Alexander Dockhorn; Jorge Hurtado Grueso; Dominik Jeurissen; Diego Perez Liebana (AIIDE Workshops, 2020)

TAG: A Tabletop Games Framework. - Raluca D. Gaina; Martin Balla; Alexander Dockhorn; Raúl Montoliu; Diego Perez Liebana (AIIDE Workshops, 2020)

Studying General Agents in Video Games from the Perspective of Player Experience. - Cristina Guerrero-Romero; Shringi Kumari; Diego Pérez-Liébana; Sebastian Deterding (AIIDE, 2020)

MCTS Pruning in Turn-Based Strategy Games. - Yu-Jhen Hsu; Diego Perez Liebana (AIIDE Workshops, 2020)

Tribes: A New Turn-Based Strategy Game for AI Research. - Diego Pérez-Liébana; Yu-Jhen Hsu; Stavros Emmanouilidis; Bobby Dewan Akram Khaleque; Raluca D. Gaina (AIIDE, 2020)

Evaluating Generalisation in General Video Game Playing. - Martin Balla; Simon M. Lucas; Diego Perez Liebana (CoG, 2020)

Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing. - Raluca D. Gaina; Diego Perez Liebana; Simon M. Lucas; Chiara F. Sironi; Mark H. M. Winands (CoG, 2020)

Rolling Horizon NEAT for General Video Game Playing. - Diego Perez Liebana; Muhammad Sajid Alam; Raluca D. Gaina (CoG, 2020)

Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game. - Raúl Montoliu; Raluca D. Gaina; Diego Pérez-Liébana; Daniel Delgado; Simon M. Lucas (EvoApplications, 2020)

Guaranteeing Reproducibility in Deep Learning Competitions. - Brandon Houghton; Stephanie Milani; Nicholay Topin; William H. Guss; Katja Hofmann; Diego Perez Liebana; Manuela Veloso; Ruslan Salakhutdinov (CoRR, 2020)

The Design Of "Stratega": A General Strategy Games Framework. - Diego Perez Liebana; Alexander Dockhorn; Jorge Hurtado Grueso; Dominik Jeurissen (CoRR, 2020)

TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI. - Alejandro Estaben; César Díaz; Raúl Montoliu; Diego Pérez-Liébana (CoRR, 2020)

Design and Implementation of TAG: A Tabletop Games Framework. - Raluca D. Gaina; Martin Balla; Alexander Dockhorn; Raúl Montoliu; Diego Perez Liebana (CoRR, 2020)

Student-Initiated Action Advising via Advice Novelty. - Ercument Ilhan; Diego Perez Liebana (CoRR, 2020)

Trace It Like You Believe It: Time-Continuous Believability Prediction. - Cristiana Pacheco; David Melhart; Antonios Liapis; Georgios N. Yannakakis; Diego Perez Liebana (ACII, 2021)

Discrete versus Ordinal Time-Continuous Believability Assessment. - Cristiana Pacheco; David Melhart; Antonios Liapis; Georgios N. Yannakakis; Diego Perez Liebana (ACII (Workshops and Demos), 2021)

TAG: Terraforming Mars. - Raluca D. Gaina; James Goodman 004; Diego Pérez-Liébana (AIIDE, 2021)

Action Advising with Advice Imitation in Deep Reinforcement Learning. - Ercument Ilhan; Jeremy Gow; Diego Perez Liebana (AAMAS, 2021)

Portfolio Search and Optimization for General Strategy Game-Playing. - Alexander Dockhorn; Jorge Hurtado Grueso; Dominik Jeurissen; Linjie Xu; Diego Perez Liebana (CEC, 2021)

Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing. - Alexander Dockhorn; Jorge Hurtado Grueso; Dominik Jeurissen; Linjie Xu; Diego Perez Liebana (CoG, 2021)

Fingerprinting Tabletop Games. - James Goodman 004; Diego Pérez-Liébana; Simon Lucas 001 (CoG, 2021)

MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay. - Cristina Guerrero-Romero; Diego Pérez-Liébana (CoG, 2021)

Learning on a Budget via Teacher Imitation. - Ercüment Ilhan; Jeremy Gow; Diego Pérez-Liébana (CoG, 2021)

Automatic Goal Discovery in Subgoal Monte Carlo Tree Search. - Dominik Jeurissen; Mark H. M. Winands; Chiara F. Sironi; Diego Pérez-Liébana (CoG, 2021)

Generating Diverse and Competitive Play-Styles for Strategy Games. - Diego Pérez-Liébana; Cristina Guerrero-Romero; Alexander Dockhorn; Linjie Xu; Jorge Hurtado Grueso; Dominik Jeurissen (CoG, 2021)

What Are You Looking At? Team Fight Prediction Through Player Camera. - Marko Tot; Michelangelo Conserva; Alan Pedrassoli Chitayat; Athanasios Vasileios Kokkinakis; Sagarika Patra; Simon Demediuk; Alvaro Caceres Munoz; Oluseyi Olarewaju; Marian Ursu; Ben Kirman; Jonathan Hook; Florian Block; et al. (CoG, 2021)

Generating Diverse and Competitive Play-Styles for Strategy Games. - Diego Pérez-Liébana; Cristina Guerrero-Romero; Alexander Dockhorn; Dominik Jeurissen; Linjie Xu (CoRR, 2021)

Task Relabelling for Multi-task Transfer using Successor Features. - Martin Balla; Diego Perez Liebana (CoG, 2022)

MultiTree MCTS in Tabletop Games. - James Goodman 004; Diego Perez Liebana; Simon Lucas 001 (CoG, 2022)

Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search. - Marko Tot; Michelangelo Conserva; Diego Perez Liebana; Sam Devlin (CoG, 2022)

Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing. - Linjie Xu; Jorge Hurtado Grueso; Dominic Jeurissen; Diego Perez Liebana; Alexander Dockhorn (CoG, 2022)

Visualising Multiplayer Game Spaces. - James Goodman 004; Diego Perez Liebana; Simon Lucas 001 (CoRR, 2022)

Human-Game AI Interaction (Dagstuhl Seminar 22251). - Dan Ashlock; Setareh Maghsudi; Diego Perez Liebana; Pieter Spronck; Manuel Eberhardinger (Dagstuhl Reports, 2022)

Rolling Horizon Evolutionary Algorithms for General Video Game Playing. - Raluca D. Gaina; Sam Devlin; Simon M. Lucas; Diego Pérez-Liébana (IEEE Trans. Games, 2022)

Visualizing Multiplayer Game Spaces. - James Goodman 004; Diego Perez Liebana; Simon Lucas 001 (IEEE Trans. Games, 2022)

Student-Initiated Action Advising via Advice Novelty. - Ercument Ilhan; Jeremy Gow; Diego Perez Liebana (IEEE Trans. Games, 2022)

TotalBotWar: An Innovative AI Challenge and Competition for Pseudo Real-time Multi-action games. - Raúl Montoliu; Alejandro Estaben; César Díaz; Sergi Fuster; Diego Pérez-Liébana (CEV, 2023)

PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games. - Martin Balla; George E. M. Long; Dominik Jeurissen; James Goodman 004; Raluca D. Gaina; Diego Pérez-Liébana (CoG, 2023)

A case study in AI-assisted board game design. - James Goodman 004; Alan Wallat; Diego Pérez-Liébana; Simon Lucas 001 (CoG, 2023)

Balancing Wargames through Predicting Unit Point Costs. - George E. M. Long; Diego Pérez-Liébana; Spyridon Samothrakis (CoG, 2023)

Predictive Models and Monte Carlo Tree Search: A Pipeline for Believable Agents. - Cristiana Pacheco; Diego Pérez-Liébana (CoG, 2023)

Following the Leader in Multiplayer Tabletop Games. - James Goodman 004; Diego Perez Liebana; Simon M. Lucas (FDG, 2023)

Beyond Playing to Win: Creating a Team of Agents With Distinct Behaviors for Automated Gameplay. - Cristina Guerrero-Romero; Simon M. Lucas; Diego Perez Liebana (IEEE Trans. Games, 2023)

Elastic Monte Carlo Tree Search. - Linjie Xu; Alexander Dockhorn; Diego Perez Liebana (IEEE Trans. Games, 2023)

Skill Depth in Tabletop Board Games. - James Goodman 004; Diego Perez Liebana; Simon M. Lucas (CoG, 2024)

Measuring Randomness in Tabletop Games. - James Goodman 004; Diego Perez Liebana; Simon M. Lucas (CoG, 2024)

Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents. - Dominik Jeurissen; Diego Perez Liebana; Jeremy Gow; Duygu Çakmak; James Kwan (CoG, 2024)

Unveiling modern board games: an ML-based approach to BoardGameGeek data analysis. - Dien Nguyen; Joshua Kritz; Raluca D. Gaina; Diego Perez Liebana (CoG, 2024)

Strategy Game-Playing with Size-Constrained State Abstraction. - Linjie Xu; Diego Perez Liebana; Alexander Dockhorn (CoG, 2024)

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. - Linjie Xu; Zichuan Liu; Alexander Dockhorn; Diego Perez Liebana; Jinyu Wang; Lei Song 001; Jiang Bian 002 (CoG, 2024)

PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning. - Martin Balla; George E. M. Long; James Goodman 004; Raluca D. Gaina; Diego Pérez-Liébana (CoRR, 2024)

From Code to Play: Benchmarking Program Search for Games Using Large Language Models. - Manuel Eberhardinger; James Goodman 004; Alexander Dockhorn; Diego Perez Liebana; Raluca D. Gaina; Duygu Çakmak; Setareh Maghsudi; Simon M. Lucas (CoRR, 2024)

Computational Creativity for Game Development (Dagstuhl Seminar 24261). - Duygu Çakmak; Setareh Maghsudi; Diego Perez Liebana; Pieter Spronck (Dagstuhl Reports, 2024)

PyTAG: Tabletop Games for Multiagent Reinforcement Learning. - Martin Balla; George E. M. Long; James Goodman 004; Raluca D. Gaina; Diego Perez Liebana (IEEE Trans. Games, 2024)

Guest Editorial: Special Issue on Human Centered AI in Game Evaluation. - Alena Denisova; Diego Perez Liebana; Vanessa Volz; Julian Frommel; Sahar Asadi (IEEE Trans. Games, 2024)

STEP: A Framework for Automated Point Cost Estimation. - George E. M. Long; Diego Perez Liebana; Spyridon Samothrakis (IEEE Trans. Games, 2024)

JSON-Bag: A Generic Game Trajectory Representation. - Dien Nguyen; Diego Perez Liebana; Simon M. Lucas (CoG, 2025)

Explaining and Clustering Playtraces Using Temporal Logics. - Pablo Gutiérrez-Sánchez; Diego Pérez-Liébana; Raluca D. Gaina (FDG, 2025)

Seeding for Success: Skill and Stochasticity in Tabletop Games. - James Goodman 004; Diego Perez Liebana; Simon M. Lucas (CoRR, 2025)