Diego Pérez-Liébana

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 49

Top Topics

Rolling Horizon

Top Venues

Publications

Martin Balla, George E. M. Long, James Goodman, Raluca D. Gaina, Diego Pérez-Liébana
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning. CoRR (2024)
George E. M. Long, Diego Pérez-Liébana, Spyridon Samothrakis
Balancing Wargames through Predicting Unit Point Costs. CoG (2023)
Martin Balla, George E. M. Long, Dominik Jeurissen, James Goodman, Raluca D. Gaina, Diego Pérez-Liébana
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games. CoG (2023)
Raúl Montoliu, Alejandro Estaben, César Díaz, Sergi Fuster, Diego Pérez-Liébana
TotalBotWar: An Innovative AI Challenge and Competition for Pseudo Real-time Multi-action games. CEV (2023)
Cristiana Pacheco, Diego Pérez-Liébana
Predictive Models and Monte Carlo Tree Search: A Pipeline for Believable Agents. CoG (2023)
James Goodman, Alan Wallat, Diego Pérez-Liébana, Simon Lucas
A case study in AI-assisted board game design. CoG (2023)
Raluca D. Gaina, Sam Devlin, Simon M. Lucas, Diego Pérez-Liébana
Rolling Horizon Evolutionary Algorithms for General Video Game Playing. IEEE Trans. Games 14 (2) (2022)
Cristina Guerrero-Romero, Diego Pérez-Liébana
MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay. CoG (2021)
Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu, Jorge Hurtado Grueso, Dominik Jeurissen
Generating Diverse and Competitive Play-Styles for Strategy Games. CoG (2021)
Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu
Generating Diverse and Competitive Play-Styles for Strategy Games. CoRR (2021)
Raluca D. Gaina, James Goodman, Diego Pérez-Liébana
TAG: Terraforming Mars. AIIDE (2021)
Dominik Jeurissen, Mark H. M. Winands, Chiara F. Sironi, Diego Pérez-Liébana
Automatic Goal Discovery in Subgoal Monte Carlo Tree Search. CoG (2021)
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, Anders Drachen, Diego Pérez-Liébana
What Are You Looking At? Team Fight Prediction Through Player Camera. CoG (2021)
James Goodman, Diego Pérez-Liébana, Simon Lucas
Fingerprinting Tabletop Games. CoG (2021)
Ercüment Ilhan, Jeremy Gow, Diego Pérez-Liébana
Learning on a Budget via Teacher Imitation. CoG (2021)
Diego Pérez-Liébana, Yu-Jhen Hsu, Stavros Emmanouilidis, Bobby Dewan Akram Khaleque, Raluca D. Gaina
Tribes: A New Turn-Based Strategy Game for AI Research. AIIDE (2020)
Martin Balla, Simon M. Lucas, Diego Pérez-Liébana
Evaluating Generalisation in General Video Game Playing. CoRR (2020)
Alejandro Estaben, César Díaz, Raúl Montoliu, Diego Pérez-Liébana
TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI. CoRR (2020)
Raúl Montoliu, Raluca D. Gaina, Diego Pérez-Liébana, Daniel Delgado, Simon M. Lucas
Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game. EvoApplications (2020)
Raluca D. Gaina, Sam Devlin, Simon M. Lucas, Diego Pérez-Liébana
Rolling Horizon Evolutionary Algorithms for General Video Game Playing. CoRR (2020)
Cristina Guerrero-Romero, Shringi Kumari, Diego Pérez-Liébana, Sebastian Deterding
Studying General Agents in Video Games from the Perspective of Player Experience. AIIDE (2020)
Diego Pérez-Liébana, Muhammad Sajid Alam, Raluca D. Gaina
Rolling Horizon NEAT for General Video Game Playing. CoRR (2020)
Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR (2019)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. AAAI (2019)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
Project Thyia: A Forever Gameplayer. CoRR (2019)
Jialin Liu, Diego Pérez-Liébana, Tristan Cazenave, Ruck Thawonmas
Guest Editorial Special Issue on Game Competition Frameworks for Research and Education. IEEE Trans. Games 11 (3) (2019)
Ahmed Khalifa, Michael Cerny Green, Diego Pérez-Liébana, Julian Togelius
General Video Game Rule Generation. CoRR (2019)
Damien Anderson, Cristina Guerrero-Romero, Diego Pérez-Liébana, Philip Rodgers, John Levine
Ensemble Decision Systems for General Video Game Playing. CoRR (2019)
Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG (2019)
Ercüment Ilhan, Jeremy Gow, Diego Pérez-Liébana
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. CoG (2019)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
Project Thyia: A Forever Gameplayer. CoG (2019)
Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms. IEEE Trans. Games 11 (3) (2019)
Diego Pérez-Liébana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, André Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition. CoRR (2019)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
General Win Prediction from Agent Experience. CIG (2018)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CEC (2018)
Daniel A. Ashlock, Eun-Youn Kim, Diego Pérez-Liébana
Toward General Mathematical Game Playing Agents. CIG (2018)
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
Deep Reinforcement Learning for General Video Game AI. CoRR (2018)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI. AIIDE (2018)
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
Deep Reinforcement Learning for General Video Game AI. CIG (2018)
Cristiana Pacheco, Laurissa N. Tokarchuk, Diego Pérez-Liébana
Studying believability assessment in racing games. FDG (2018)
Cristina Guerrero-Romero, Simon M. Lucas, Diego Pérez-Liébana
Using a Team of General AI Algorithms to Assist Game Design and Testing. CIG (2018)
Kamolwan Kunanusont, Simon Mark Lucas, Diego Pérez-Liébana
Modeling Player Experience with the N-Tuple Bandit Evolutionary Algorithm. AIIDE (2018)
Raluca D. Gaina, Adrien Couëtoux, Dennis J. N. J. Soemers, Mark H. M. Winands, Tom Vodopivec, Florian Kirchgeßner, Jialin Liu, Simon M. Lucas, Diego Pérez-Liébana
The 2016 Two-Player GVGAI Competition. IEEE Trans. Games 10 (2) (2018)
Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. CoRR (2018)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms. SSCI (2017)
Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Pérez-Liébana
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. EvoApplications (1) (2017)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. CoRR (2017)
Daniel A. Ashlock, Diego Pérez-Liébana, Amanda Saunders
General video game playing escapes the no free lunch theorem. CIG (2017)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. CoRR (2017)