Diego Perez Liebana

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 89

Top Venues

Publications

Dominik Jeurissen, Diego Perez Liebana, Jeremy Gow, Duygu Çakmak, James Kwan
Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents. CoRR (2024)
Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoRR (2024)
James Goodman, Diego Perez Liebana, Simon M. Lucas
Following the Leader in Multiplayer Tabletop Games. FDG (2023)
Martin Balla, George E. M. Long, Dominik Jeurissen, James Goodman, Raluca D. Gaina, Diego Perez Liebana
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games. CoRR (2023)
Cristina Guerrero-Romero, Simon M. Lucas, Diego Perez Liebana
Beyond Playing to Win: Creating a Team of Agents With Distinct Behaviors for Automated Gameplay. IEEE Trans. Games 15 (3) (2023)
Linjie Xu, Alexander Dockhorn, Diego Perez Liebana
Elastic Monte Carlo Tree Search. IEEE Trans. Games 15 (4) (2023)
James Goodman, Diego Perez Liebana, Simon Lucas
Visualizing Multiplayer Game Spaces. IEEE Trans. Games 14 (4) (2022)
James Goodman, Diego Perez Liebana, Simon Lucas
Visualising Multiplayer Game Spaces. CoRR (2022)
Ercument Ilhan, Jeremy Gow, Diego Perez Liebana
Student-Initiated Action Advising via Advice Novelty. IEEE Trans. Games 14 (3) (2022)
Linjie Xu, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez Liebana, Alexander Dockhorn
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing. CoRR (2022)
Marko Tot, Michelangelo Conserva, Diego Perez Liebana, Sam Devlin
Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search. CoG (2022)
James Goodman, Diego Perez Liebana, Simon Lucas
MultiTree MCTS in Tabletop Games. CoG (2022)
Linjie Xu, Jorge Hurtado Grueso, Dominic Jeurissen, Diego Perez Liebana, Alexander Dockhorn
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing. CoG (2022)
Dan Ashlock, Setareh Maghsudi, Diego Perez Liebana, Pieter Spronck, Manuel Eberhardinger
Human-Game AI Interaction (Dagstuhl Seminar 22251). Dagstuhl Reports 12 (6) (2022)
Martin Balla, Diego Perez Liebana
Task Relabelling for Multi-task Transfer using Successor Features. CoRR (2022)
Martin Balla, Diego Perez Liebana
Task Relabelling for Multi-task Transfer using Successor Features. CoG (2022)
Ercument Ilhan, Jeremy Gow, Diego Perez Liebana
Action Advising with Advice Imitation in Deep Reinforcement Learning. CoRR (2021)
Ercument Ilhan, Jeremy Gow, Diego Perez Liebana
Learning on a Budget via Teacher Imitation. CoRR (2021)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana
Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing. CoG (2021)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana
Portfolio Search and Optimization for General Strategy Game-Playing. CoRR (2021)
Cristiana Pacheco, David Melhart, Antonios Liapis, Georgios N. Yannakakis, Diego Perez Liebana
Discrete versus Ordinal Time-Continuous Believability Assessment. ACII (Workshops and Demos) (2021)
Cristiana Pacheco, David Melhart, Antonios Liapis, Georgios N. Yannakakis, Diego Perez Liebana
Trace It Like You Believe It: Time-Continuous Believability Prediction. ACII (2021)
Ercument Ilhan, Jeremy Gow, Diego Perez Liebana
Action Advising with Advice Imitation in Deep Reinforcement Learning. AAMAS (2021)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana
Portfolio Search and Optimization for General Strategy Game-Playing. CEC (2021)
Yu-Jhen Hsu, Diego Perez Liebana
MCTS Pruning in Turn-Based Strategy Games. AIIDE Workshops (2020)
Martin Balla, Simon M. Lucas, Diego Perez Liebana
Evaluating Generalisation in General Video Game Playing. CoG (2020)
Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov
Guaranteeing Reproducibility in Deep Learning Competitions. CoRR (2020)
Diego Perez Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen
The Design Of "Stratega": A General Strategy Games Framework. CoRR (2020)
Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana
Design and Implementation of TAG: A Tabletop Games Framework. CoRR (2020)
Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez Liebana
STRATEGA: A General Strategy Games Framework. AIIDE Workshops (2020)
Ercument Ilhan, Diego Perez Liebana
Student-Initiated Action Advising via Advice Novelty. CoRR (2020)
Raluca D. Gaina, Diego Perez Liebana, Simon M. Lucas, Chiara F. Sironi, Mark H. M. Winands
Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing. CoG (2020)
Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana
TAG: A Tabletop Games Framework. AIIDE Workshops (2020)
Diego Perez Liebana, Muhammad Sajid Alam, Raluca D. Gaina
Rolling Horizon NEAT for General Video Game Playing. CoG (2020)
Damien Anderson, Philip Rodgers, John Levine, Cristina Guerrero-Romero, Diego Perez Liebana
Ensemble Decision Systems for General Video Game Playing. CoG (2019)
Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana
Learning Local Forward Models on Unforgiving Games. CoRR (2019)
Olve Drageset, Mark H. M. Winands, Raluca D. Gaina, Diego Perez Liebana
Optimising Level Generators for General Video Game AI. CoG (2019)
Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana
Learning Local Forward Models on Unforgiving Games. CoG (2019)
William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR (2019)
Diego Perez Liebana, Raluca D. Gaina, Olve Drageset, Ercüment Ilhan, Martin Balla, Simon M. Lucas
Analysis of Statistical Forward Planning Methods in Pommerman. AIIDE (2019)
Ivan Bravi, Simon M. Lucas, Diego Perez Liebana, Jialin Liu
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoRR (2019)
Xenija Neufeld, Sanaz Mostaghim, Diego Perez Liebana
Evolving Game State Evaluation Functions for a Hybrid Planning Approach. CoG (2019)
Ercüment Ilhan, Jeremy Gow, Diego Perez Liebana
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. CoRR (2019)
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoG (2019)
Chiara F. Sironi, Jialin Liu, Diego Perez Liebana, Raluca D. Gaina, Ivan Bravi, Simon M. Lucas, Mark H. M. Winands
Self-adaptive MCTS for General Video Game Playing. EvoApplications (2018)
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Shallow Decision-Making Analysis in General Video Game Playing. CIG (2018)
Ivan Bravi, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Shallow decision-making analysis in General Video Game Playing. CoRR (2018)
Simon M. Lucas, Jialin Liu, Diego Perez Liebana
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CoRR (2018)
Philipp Rohlfshagen, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game. IEEE Trans. Games 10 (3) (2018)
Diego Perez Liebana, Matthew Stephenson, Raluca D. Gaina, Jochen Renz, Simon M. Lucas
Introducing real world physics and macro-actions to general video game ai. CIG (2017)
Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
The N-Tuple bandit evolutionary algorithm for automatic game improvement. CEC (2017)
Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas
Evolving Game Skill-Depth using General Video Game AI Agents. CoRR (2017)
Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas
Evolving Game Skill-Depth using General Video Game AI agents. CEC (2017)
Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement. CoRR (2017)
Xenija Neufeld, Sanaz Mostaghim, Diego Perez Liebana
HTN fighter: Planning in a highly-dynamic game. CEEC (2017)
Cristina Guerrero-Romero, Annie Louis, Diego Perez Liebana
Beyond playing to win: Diversifying heuristics for GVGAI. CIG (2017)
Rokas Volkovas, Michael Fairbank, Diego Perez Liebana
Diversity maintenance using a population of repelling random-mutation hill climbers. CEEC (2017)
Miguel Nicolau, Diego Perez Liebana, Michael O'Neill, Anthony Brabazon
Evolutionary Behavior Tree Approaches for Navigating Platform Games. IEEE Trans. Comput. Intell. AI Games 9 (3) (2017)
Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez Liebana
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. CoRR (2017)
Lewis Horsley, Diego Perez Liebana
Building an automatic sprite generator with deep convolutional generative adversarial networks. CIG (2017)
Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana
Rolling horizon evolution enhancements in general video game playing. CIG (2017)
Spyridon Samothrakis, Maria Fasli, Diego Perez Liebana, Simon M. Lucas
Default policies for global optimisation of noisy functions with severe noise. J. Glob. Optim. 67 (4) (2017)
Ahmed Khalifa, Michael Cerny Green, Diego Perez Liebana, Julian Togelius
General video game rule generation. CIG (2017)
Kamolwan Kunanusont, Simon M. Lucas, Diego Perez Liebana
General Video Game AI: Learning from Screen Capture. CoRR (2017)
Jose Manuel Gonzalez-Castro, Diego Perez Liebana
Opponent models comparison for 2 players in GVGAI competitions. CEEC (2017)
Kamolwan Kunanusont, Simon M. Lucas, Diego Perez Liebana
General Video Game AI: Learning from screen capture. CEC (2017)
Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana
Population seeding techniques for Rolling Horizon Evolution in General Video Game Playing. CEC (2017)
Joseph Walton-Rivers, Piers R. Williams, Richard Bartle, Diego Perez Liebana, Simon M. Lucas
Evaluating and modelling Hanabi-playing agents. CEC (2017)
Joseph Walton-Rivers, Piers R. Williams, Richard Bartle, Diego Perez Liebana, Simon M. Lucas
Evaluating and Modelling Hanabi-Playing Agents. CoRR (2017)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Bandit-based Random Mutation Hill-Climbing. CEC (2017)
Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana
Population Seeding Techniques for Rolling Horizon Evolution in General Video Game Playing. CoRR (2017)
Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas
General Video Game AI: Competition, Challenges and Opportunities. AAAI (2016)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Rolling Horizon Coevolutionary Planning for Two-Player Video Games. CoRR (2016)
Raluca D. Gaina, Diego Perez Liebana, Simon M. Lucas
General Video Game for 2 players: Framework and competition. CEEC (2016)
Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas, Adrien Couëtoux, Jerry Lee, Chong-U Lim, Tommy Thompson
The 2014 General Video Game Playing Competition. IEEE Trans. Comput. Intell. AI Games 8 (3) (2016)
Piers R. Williams, Diego Perez Liebana, Simon M. Lucas
Ms. Pac-Man Versus Ghost Team CIG 2016 Competition. CoRR (2016)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Rolling Horizon Coevolutionary planning for two-player video games. CEEC (2016)
Hendrik Horn, Vanessa Volz, Diego Perez Liebana, Mike Preuss
MCTS/EA hybrid GVGAI players and game difficulty estimation. CIG (2016)
Jialin Liu, Michael Fairbank, Diego Perez Liebana, Simon M. Lucas
Optimal resampling for the noisy OneMax problem. CoRR (2016)
Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas
Analyzing the robustness of general video game playing agents. CIG (2016)
Piers R. Williams, Diego Perez Liebana, Simon M. Lucas
Ms. Pac-Man Versus Ghost Team CIG 2016 competition. CIG (2016)
Spyridon Samothrakis, Diego Perez Liebana, Simon M. Lucas, Philipp Rohlfshagen
Predicting Dominance Rankings for Score-Based Games. IEEE Trans. Comput. Intell. AI Games 8 (1) (2016)
Diego Perez Liebana, Sanaz Mostaghim, Simon M. Lucas
Multi-objective tree search approaches for general video game playing. CEC (2016)
Jialin Liu, Diego Perez Liebana, Simon M. Lucas
Bandit-Based Random Mutation Hill-Climbing. CoRR (2016)
Ahmed Khalifa, Diego Perez Liebana, Simon M. Lucas, Julian Togelius
General Video Game Level Generation. GECCO (2016)
Diego Perez Liebana, Sanaz Mostaghim, Spyridon Samothrakis, Simon M. Lucas
Multiobjective Monte Carlo Tree Search for Real-Time Games. IEEE Trans. Comput. Intell. AI Games 7 (4) (2015)
Diego Perez Liebana, Jens Dieskau, Martin Hunermund, Sanaz Mostaghim, Simon M. Lucas
Open Loop Search for General Video Game Playing. GECCO (2015)
Spyridon Samothrakis, Diego Perez Liebana, Simon M. Lucas, Maria Fasli
Neuroevolution for General Video Game Playing. CIG (2015)
Diego Perez Liebana, Spyridon Samothrakis, Simon M. Lucas
Knowledge-based fast evolutionary MCTS for general video game playing. CIG (2014)
Diego Perez Liebana, Julian Togelius, Spyridon Samothrakis, Philipp Rohlfshagen, Simon M. Lucas
Automated Map Generation for the Physical Traveling Salesman Problem. IEEE Trans. Evol. Comput. 18 (5) (2014)
Diego Perez Liebana, Edward Jack Powley, Daniel Whitehouse, Philipp Rohlfshagen, Spyridon Samothrakis, Peter I. Cowling, Simon M. Lucas
Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions. IEEE Trans. Comput. Intell. AI Games 6 (1) (2014)
Spyridon Samothrakis, Samuel A. Roberts, Diego Perez Liebana, Simon M. Lucas
Rolling horizon methods for games with continuous states and actions. CIG (2014)
Simon M. Lucas, Spyridon Samothrakis, Diego Perez Liebana
Fast Evolutionary Adaptation for Monte Carlo Tree Search. EvoApplications (2014)
Diego Perez Liebana, Edward Jack Powley, Daniel Whitehouse, Spyridon Samothrakis, Simon M. Lucas, Peter I. Cowling
The 2013 Multi-objective Physical Travelling Salesman Problem Competition. IEEE Congress on Evolutionary Computation (2014)
Diego Perez Liebana, Spyridon Samothrakis, Simon M. Lucas
Online and offline learning in multi-objective Monte Carlo Tree Search. CIG (2013)
Diego Perez Liebana, Spyridon Samothrakis, Simon M. Lucas, Philipp Rohlfshagen
Rolling horizon evolution versus tree search for navigation in single-player real-time games. GECCO (2013)
Diego Perez Liebana, Philipp Rohlfshagen, Simon M. Lucas
Monte-Carlo Tree Search for the Physical Travelling Salesman Problem. EvoApplications (2012)
Diego Perez Liebana, Philipp Rohlfshagen, Simon M. Lucas
The physical travelling salesman problem: WCCI 2012 competition. IEEE Congress on Evolutionary Computation (2012)
Simon M. Lucas, Philipp Rohlfshagen, Diego Perez Liebana
Towards more intelligent adaptive video game agents: a computational intelligence perspective. Conf. Computing Frontiers (2012)

Diego Perez Liebana.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Diego Perez Liebana