Diego Pérez-Liébana

52 papers A* 1B 2C 15Journal 19Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Explaining and Clustering Playtraces Using Temporal Logics. FDG Pablo Gutiérrez-Sánchez, Diego Pérez-Liébana, Raluca D. Gaina
2024	J	`jnl`	PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning. CoRR Martin Balla, George E. M. Long, James Goodman, Raluca D. Gaina, Diego Pérez-Liébana
2023	C	`conf`	A case study in AI-assisted board game design. CoG James Goodman, Alan Wallat, Diego Pérez-Liébana, Simon Lucas
2023	C	`conf`	Balancing Wargames through Predicting Unit Point Costs. CoG George E. M. Long, Diego Pérez-Liébana, Spyridon Samothrakis
2023	C	`conf`	Predictive Models and Monte Carlo Tree Search: A Pipeline for Believable Agents. CoG Cristiana Pacheco, Diego Pérez-Liébana
2023	C	`conf`	PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games. CoG Martin Balla, George E. M. Long, Dominik Jeurissen, James Goodman, Raluca D. Gaina, Diego Pérez-Liébana
2023	—	`conf`	TotalBotWar: An Innovative AI Challenge and Competition for Pseudo Real-time Multi-action games. CEV Raúl Montoliu, Alejandro Estaben, César Díaz, Sergi Fuster, Diego Pérez-Liébana
2022	J	`jnl`	Rolling Horizon Evolutionary Algorithms for General Video Game Playing. IEEE Trans. Games Raluca D. Gaina, Sam Devlin, Simon M. Lucas, Diego Pérez-Liébana
2021	C	`conf`	Automatic Goal Discovery in Subgoal Monte Carlo Tree Search. CoG Dominik Jeurissen, Mark H. M. Winands, Chiara F. Sironi, Diego Pérez-Liébana
2021	C	`conf`	Fingerprinting Tabletop Games. CoG James Goodman, Diego Pérez-Liébana, Simon Lucas
2021	C	`conf`	Generating Diverse and Competitive Play-Styles for Strategy Games. CoG Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu, Jorge Hurtado Grueso, Dominik Jeurissen
2021	J	`jnl`	Generating Diverse and Competitive Play-Styles for Strategy Games. CoRR Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu
2021	C	`conf`	Learning on a Budget via Teacher Imitation. CoG Ercüment Ilhan, Jeremy Gow, Diego Pérez-Liébana
2021	C	`conf`	MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay. CoG Cristina Guerrero-Romero, Diego Pérez-Liébana
2021	—	`conf`	TAG: Terraforming Mars. AIIDE Raluca D. Gaina, James Goodman, Diego Pérez-Liébana
2021	C	`conf`	What Are You Looking At? Team Fight Prediction Through Player Camera. CoG 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
2020	B	`conf`	Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game. EvoApplications Raúl Montoliu, Raluca D. Gaina, Diego Pérez-Liébana, Daniel Delgado, Simon M. Lucas
2020	J	`jnl`	Evaluating Generalisation in General Video Game Playing. CoRR Martin Balla, Simon M. Lucas, Diego Pérez-Liébana
2020	J	`jnl`	Rolling Horizon Evolutionary Algorithms for General Video Game Playing. CoRR Raluca D. Gaina, Sam Devlin, Simon M. Lucas, Diego Pérez-Liébana
2020	J	`jnl`	Rolling Horizon NEAT for General Video Game Playing. CoRR Diego Pérez-Liébana, Muhammad Sajid Alam, Raluca D. Gaina
2020	—	`conf`	Studying General Agents in Video Games from the Perspective of Player Experience. AIIDE Cristina Guerrero-Romero, Shringi Kumari, Diego Pérez-Liébana, Sebastian Deterding
2020	J	`jnl`	TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI. CoRR Alejandro Estaben, César Díaz, Raúl Montoliu, Diego Pérez-Liébana
2020	—	`conf`	Tribes: A New Turn-Based Strategy Game for AI Research. AIIDE Diego Pérez-Liébana, Yu-Jhen Hsu, Stavros Emmanouilidis, Bobby Dewan Akram Khaleque, Raluca D. Gaina
2019	C	`conf`	A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse
2019	J	`jnl`	A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse
2019	J	`jnl`	Ensemble Decision Systems for General Video Game Playing. CoRR Damien Anderson, Cristina Guerrero-Romero, Diego Pérez-Liébana, Philip Rodgers, John Levine
2019	J	`jnl`	General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms. IEEE Trans. Games Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
2019	—	`book`	General Video Game Artificial Intelligence Diego Pérez-Liébana, Simon M. Lucas, Raluca D. Gaina, Julian Togelius, Ahmed Khalifa, Jialin Liu
2019	J	`jnl`	General Video Game Rule Generation. CoRR Ahmed Khalifa, Michael Cerny Green, Diego Pérez-Liébana, Julian Togelius
2019	J	`jnl`	Guest Editorial Special Issue on Game Competition Frameworks for Research and Education. IEEE Trans. Games Jialin Liu, Diego Pérez-Liébana, Tristan Cazenave, Ruck Thawonmas
2019	C	`conf`	Project Thyia: A Forever Gameplayer. CoG Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
2019	J	`jnl`	Project Thyia: A Forever Gameplayer. CoRR Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
2019	A*	`conf`	Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. AAAI Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
2019	C	`conf`	Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. CoG Ercüment Ilhan, Jeremy Gow, Diego Pérez-Liébana
2019	J	`jnl`	The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition. CoRR Diego Pérez-Liébana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, André Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
2018	—	`conf`	Deep Reinforcement Learning for General Video Game AI. CIG Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
2018	J	`jnl`	Deep Reinforcement Learning for General Video Game AI. CoRR Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana
2018	—	`ch.`	Evolving Behaviour Tree Structures Using Grammatical Evolution. Handbook of Grammatical Evolution Diego Pérez-Liébana, Miguel Nicolau
2018	J	`jnl`	General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms. CoRR Diego Pérez-Liébana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina, Julian Togelius, Simon M. Lucas
2018	—	`conf`	General Win Prediction from Agent Experience. CIG Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
2018	—	`conf`	Modeling Player Experience with the N-Tuple Bandit Evolutionary Algorithm. AIIDE Kamolwan Kunanusont, Simon Mark Lucas, Diego Pérez-Liébana
2018	C	`conf`	Studying believability assessment in racing games. FDG Cristiana Pacheco, Laurissa N. Tokarchuk, Diego Pérez-Liébana
2018	J	`jnl`	The 2016 Two-Player GVGAI Competition. IEEE Trans. Games 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
2018	B	`conf`	The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CEC Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2018	—	`conf`	Toward General Mathematical Game Playing Agents. CIG Daniel A. Ashlock, Eun-Youn Kim, Diego Pérez-Liébana
2018	—	`conf`	Using a Team of General AI Algorithms to Assist Game Design and Testing. CIG Cristina Guerrero-Romero, Simon M. Lucas, Diego Pérez-Liébana
2018	—	`conf`	VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI. AIIDE Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
2017	—	`conf`	Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. EvoApplications (1) Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Pérez-Liébana
2017	J	`jnl`	Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. CoRR Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2017	—	`conf`	Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms. SSCI Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2017	J	`jnl`	Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. CoRR Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
2017	—	`conf`	General video game playing escapes the no free lunch theorem. CIG Daniel A. Ashlock, Diego Pérez-Liébana, Amanda Saunders