default search action
Diego Perez Liebana
Diego Pérez-Liébana
Person information
- affiliation: Queen Mary University of London, UK
- affiliation (former): University of Magdeburg, Germany
- affiliation (former): University of Essex, Colchester, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c100]James Goodman, Diego Perez Liebana, Simon M. Lucas:
Skill Depth in Tabletop Board Games. CoG 2024: 1-8 - [c99]James Goodman, Diego Perez Liebana, Simon M. Lucas:
Measuring Randomness in Tabletop Games. CoG 2024: 1-8 - [c98]Dominik Jeurissen, Diego Perez Liebana, Jeremy Gow, Duygu Çakmak, James Kwan:
Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents. CoG 2024: 1-8 - [c97]Dien Nguyen, Joshua Kritz, Raluca D. Gaina, Diego Perez Liebana:
Unveiling modern board games: an ML-based approach to BoardGameGeek data analysis. CoG 2024: 1-4 - [c96]Linjie Xu, Diego Perez Liebana, Alexander Dockhorn:
Strategy Game-Playing with Size-Constrained State Abstraction. CoG 2024: 1-8 - [c95]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. CoG 2024: 1-8 - [i47]Dominik Jeurissen, Diego Perez Liebana, Jeremy Gow, Duygu Çakmak, James Kwan:
Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents. CoRR abs/2403.00690 (2024) - [i46]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 abs/2404.09715 (2024) - [i45]Martin Balla, George E. M. Long, James Goodman, Raluca D. Gaina, Diego Pérez-Liébana:
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning. CoRR abs/2405.18123 (2024) - [i44]Linjie Xu, Diego Perez Liebana, Alexander Dockhorn:
Strategy Game-Playing with Size-Constrained State Abstraction. CoRR abs/2408.06202 (2024) - 2023
- [j18]Cristina Guerrero-Romero
, Simon M. Lucas
Beyond Playing to Win: Creating a Team of Agents With Distinct Behaviors for Automated Gameplay. IEEE Trans. Games 15(3): 469-482 (2023) - [j17]Linjie Xu
Elastic Monte Carlo Tree Search. IEEE Trans. Games 15(4): 527-537 (2023) - [c94]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 - [c93]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: 1-8 - [c92]James Goodman, Alan Wallat, Diego Pérez-Liébana, Simon Lucas:
A case study in AI-assisted board game design. CoG 2023: 1-4 - [c91]George E. M. Long, Diego Pérez-Liébana, Spyridon Samothrakis:
Balancing Wargames through Predicting Unit Point Costs. CoG 2023: 1-8 - [c90]Cristiana Pacheco, Diego Pérez-Liébana:
Predictive Models and Monte Carlo Tree Search: A Pipeline for Believable Agents. CoG 2023: 1-4 - [c89]James Goodman
Following the Leader in Multiplayer Tabletop Games. FDG 2023: 22:1-22:11 - [i43]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 abs/2307.09905 (2023) - 2022
- [j16]Raluca D. Gaina
Rolling Horizon Evolutionary Algorithms for General Video Game Playing. IEEE Trans. Games 14(2): 232-242 (2022) - [j15]Ercument Ilhan
Student-Initiated Action Advising via Advice Novelty. IEEE Trans. Games 14(3): 522-532 (2022) - [j14]James Goodman
Visualizing Multiplayer Game Spaces. IEEE Trans. Games 14(4): 663-675 (2022) - [c88]James Goodman, Diego Perez Liebana, Simon Lucas:
MultiTree MCTS in Tabletop Games. CoG 2022: 292-299 - [c87]Marko Tot, Michelangelo Conserva, Diego Perez Liebana, Sam Devlin:
Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search. CoG 2022: 300-306 - [c86]Martin Balla, Diego Perez Liebana:
Task Relabelling for Multi-task Transfer using Successor Features. CoG 2022: 353-360 - [c85]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: 369-376 - [i42]James Goodman, Diego Perez Liebana, Simon Lucas:
Visualising Multiplayer Game Spaces. CoRR abs/2202.05773 (2022) - [i41]Martin Balla, Diego Perez Liebana:
Task Relabelling for Multi-task Transfer using Successor Features. CoRR abs/2205.10175 (2022) - [i40]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 abs/2205.15126 (2022) - [i39]Dan Ashlock, Setareh Maghsudi, Diego Perez Liebana, Pieter Spronck, Manuel Eberhardinger
Human-Game AI Interaction (Dagstuhl Seminar 22251). Dagstuhl Reports 12(6): 28-82 (2022) - 2021
- [c84]Cristiana Pacheco, David Melhart, Antonios Liapis, Georgios N. Yannakakis, Diego Perez Liebana:
Trace It Like You Believe It: Time-Continuous Believability Prediction. ACII 2021: 1-8 - [c83]Cristiana Pacheco, David Melhart, Antonios Liapis, Georgios N. Yannakakis, Diego Perez Liebana:
Discrete versus Ordinal Time-Continuous Believability Assessment. ACII (Workshops and Demos) 2021: 1-7 - [c82]Raluca D. Gaina, James Goodman, Diego Pérez-Liébana:
TAG: Terraforming Mars. AIIDE 2021: 148-155 - [c81]Ercument Ilhan, Jeremy Gow, Diego Perez Liebana:
Action Advising with Advice Imitation in Deep Reinforcement Learning. AAMAS 2021: 629-637 - [c80]Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana:
Portfolio Search and Optimization for General Strategy Game-Playing. CEC 2021: 2085-2092 - [c79]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: 1-8 - [c78]James Goodman, Diego Pérez-Liébana, Simon Lucas:
Fingerprinting Tabletop Games. CoG 2021: 1-4 - [c77]Cristina Guerrero-Romero, Diego Pérez-Liébana:
MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay. CoG 2021: 1-8 - [c76]Ercüment Ilhan, Jeremy Gow, Diego Pérez-Liébana:
Learning on a Budget via Teacher Imitation. CoG 2021: 1-8 - [c75]Dominik Jeurissen, Mark H. M. Winands, Chiara F. Sironi
Automatic Goal Discovery in Subgoal Monte Carlo Tree Search. CoG 2021: 1-4 - [c74]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: 1-8 - [c73]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
What Are You Looking At? Team Fight Prediction Through Player Camera. CoG 2021: 1-8 - [i38]Ercument Ilhan, Jeremy Gow, Diego Perez Liebana:
Learning on a Budget via Teacher Imitation. CoRR abs/2104.08440 (2021) - [i37]Ercument Ilhan, Jeremy Gow, Diego Perez Liebana:
Action Advising with Advice Imitation in Deep Reinforcement Learning. CoRR abs/2104.08441 (2021) - [i36]Diego Pérez-Liébana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu:
Generating Diverse and Competitive Play-Styles for Strategy Games. CoRR abs/2104.08641 (2021) - [i35]Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana:
Portfolio Search and Optimization for General Strategy Game-Playing. CoRR abs/2104.10429 (2021) - 2020
- [c72]Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez Liebana:
STRATEGA: A General Strategy Games Framework. AIIDE Workshops 2020 - [c71]Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana:
TAG: A Tabletop Games Framework. AIIDE Workshops 2020 - [c70]Cristina Guerrero-Romero, Shringi Kumari, Diego Pérez-Liébana, Sebastian Deterding:
Studying General Agents in Video Games from the Perspective of Player Experience. AIIDE 2020: 217-223 - [c69]Yu-Jhen Hsu, Diego Perez Liebana:
MCTS Pruning in Turn-Based Strategy Games. AIIDE Workshops 2020 - [c68]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: 252-258 - [c67]Raluca D. Gaina, Diego Perez Liebana, Simon M. Lucas, Chiara F. Sironi
Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing. CoG 2020: 367-374 - [c66]Diego Perez Liebana, Muhammad Sajid Alam, Raluca D. Gaina:
Rolling Horizon NEAT for General Video Game Playing. CoG 2020: 375-382 - [c65]Martin Balla, Simon M. Lucas, Diego Perez Liebana:
Evaluating Generalisation in General Video Game Playing. CoG 2020: 423-430 - [c64]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: 403-418 - [i34]Raluca D. Gaina, Sam Devlin, Simon M. Lucas, Diego Pérez-Liébana:
Rolling Horizon Evolutionary Algorithms for General Video Game Playing. CoRR abs/2003.12331 (2020) - [i33]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 abs/2005.06041 (2020) - [i32]Diego Pérez-Liébana, Muhammad Sajid Alam, Raluca D. Gaina:
Rolling Horizon NEAT for General Video Game Playing. CoRR abs/2005.06764 (2020) - [i31]Martin Balla, Simon M. Lucas, Diego Pérez-Liébana:
Evaluating Generalisation in General Video Game Playing. CoRR abs/2005.11247 (2020) - [i30]Diego Perez Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen:
The Design Of "Stratega": A General Strategy Games Framework. CoRR abs/2009.05643 (2020) - [i29]Alejandro Estaben, César Díaz, Raúl Montoliu, Diego Pérez-Liébana:
TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI. CoRR abs/2009.08696 (2020) - [i28]Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raúl Montoliu, Diego Perez Liebana:
Design and Implementation of TAG: A Tabletop Games Framework. CoRR abs/2009.12065 (2020) - [i27]Ercument Ilhan, Diego Perez Liebana:
Student-Initiated Action Advising via Advice Novelty. CoRR abs/2010.00381 (2020)
2010 – 2019
- 2019
- [b1]Diego Pérez-Liébana, Simon M. Lucas, Raluca D. Gaina, Julian Togelius, Ahmed Khalifa
General Video Game Artificial Intelligence. Synthesis Lectures on Games and Computational Intelligence, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00994-5 - [j13]Jialin Liu
Guest Editorial Special Issue on Game Competition Frameworks for Research and Education. IEEE Trans. Games 11(3): 192-194 (2019) - [j12]Diego Pérez-Liébana
General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms. IEEE Trans. Games 11(3): 195-214 (2019) - [c63]Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. AAAI 2019: 1691-1698 - [c62]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: 66-72 - [c61]Damien Anderson
Ensemble Decision Systems for General Video Game Playing. CoG 2019: 1-8 - [c60]Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoG 2019: 1-8 - [c59]Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana:
Learning Local Forward Models on Unforgiving Games. CoG 2019: 1-4 - [c58]Olve Drageset, Mark H. M. Winands, Raluca D. Gaina, Diego Perez Liebana:
Optimising Level Generators for General Video Game AI. CoG 2019: 1-8 - [c57]Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
Project Thyia: A Forever Gameplayer. CoG 2019: 1-8 - [c56]Ercüment Ilhan, Jeremy Gow, Diego Pérez-Liébana:
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. CoG 2019: 1-8 - [c55]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: 1-8 - [c54]Xenija Neufeld, Sanaz Mostaghim
Evolving Game State Evaluation Functions for a Hybrid Planning Approach. CoG 2019: 1-8 - [p2]Spyridon Samothrakis, Diego Perez Liebana, Simon M. Lucas:
Training Gradient Boosting Machines Using Curve-Fitting and Information-Theoretic Features for Causal Direction Detection. Cause Effect Pairs in Machine Learning 2019: 331-338 - [i26]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 abs/1901.00723 (2019) - [i25]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 abs/1901.08129 (2019) - [i24]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 abs/1903.12508 (2019) - [i23]Ivan Bravi, Simon M. Lucas, Diego Perez Liebana, Jialin Liu:
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoRR abs/1904.01883 (2019) - [i22]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:
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR abs/1904.10079 (2019) - [i21]Ercüment Ilhan, Jeremy Gow, Diego Perez Liebana:
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning. CoRR abs/1905.01357 (2019) - [i20]Damien Anderson, Cristina Guerrero-Romero, Diego Pérez-Liébana, Philip Rodgers, John Levine:
Ensemble Decision Systems for General Video Game Playing. CoRR abs/1905.10792 (2019) - [i19]Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
Project Thyia: A Forever Gameplayer. CoRR abs/1906.04023 (2019) - [i18]Ahmed Khalifa, Michael Cerny Green
General Video Game Rule Generation. CoRR abs/1906.05160 (2019) - [i17]Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana:
Learning Local Forward Models on Unforgiving Games. CoRR abs/1909.00442 (2019) - 2018
- [j11]Raluca D. Gaina
The 2016 Two-Player GVGAI Competition. IEEE Trans. Games 10(2): 209-220 (2018) - [j10]Philipp Rohlfshagen, Jialin Liu
Pac-ManConquers Academia: Two Decades of Research Using a Classic Arcade Game. IEEE Trans. Games 10(3): 233-256 (2018) - [c53]Kamolwan Kunanusont, Simon Mark Lucas, Diego Pérez-Liébana:
Modeling Player Experience with the N-Tuple Bandit Evolutionary Algorithm. AIIDE 2018: 180-186 - [c52]Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI. AIIDE 2018: 265-267 - [c51]Simon M. Lucas, Jialin Liu
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CEC 2018: 1-9 - [c50]Daniel A. Ashlock, Eun-Youn Kim, Diego Pérez-Liébana:
Toward General Mathematical Game Playing Agents. CIG 2018: 1-7 - [c49]Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Shallow Decision-Making Analysis in General Video Game Playing. CIG 2018: 1-8 - [c48]Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana:
General Win Prediction from Agent Experience. CIG 2018: 1-8 - [c47]Cristina Guerrero-Romero, Simon M. Lucas, Diego Pérez-Liébana:
Using a Team of General AI Algorithms to Assist Game Design and Testing. CIG 2018: 1-8 - [c46]Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius
Deep Reinforcement Learning for General Video Game AI. CIG 2018: 1-8 - [c45]Chiara F. Sironi
Self-adaptive MCTS for General Video Game Playing. EvoApplications 2018: 358-375 - [c44]Cristiana Pacheco, Laurissa N. Tokarchuk, Diego Pérez-Liébana:
Studying believability assessment in racing games. FDG 2018: 20:1-20:10 - [p1]Diego Pérez-Liébana, Miguel Nicolau:
Evolving Behaviour Tree Structures Using Grammatical Evolution. Handbook of Grammatical Evolution 2018: 433-460 - [i16]Simon M. Lucas, Jialin Liu, Diego Perez Liebana:
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CoRR abs/1802.05991 (2018) - [i15]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 abs/1802.10363 (2018) - [i14]Ivan Bravi, Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Shallow decision-making analysis in General Video Game Playing. CoRR abs/1806.01151 (2018) - [i13]Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana:
Deep Reinforcement Learning for General Video Game AI. CoRR abs/1806.02448 (2018) - 2017
- [j9]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): 893-907 (2017) - [j8]Miguel Nicolau
Evolutionary Behavior Tree Approaches for Navigating Platform Games. IEEE Trans. Comput. Intell. AI Games 9(3): 227-238 (2017) - [c43]Joseph Walton-Rivers
Evaluating and modelling Hanabi-playing agents. CEC 2017: 1382-1389 - [c42]Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana:
Population seeding techniques for Rolling Horizon Evolution in General Video Game Playing. CEC 2017: 1956-1963 - [c41]Kamolwan Kunanusont, Simon M. Lucas, Diego Perez Liebana:
General Video Game AI: Learning from screen capture. CEC 2017: 2078-2085 - [c40]Jialin Liu
Bandit-based Random Mutation Hill-Climbing. CEC 2017: 2145-2151 - [c39]Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu
The N-Tuple bandit evolutionary algorithm for automatic game improvement. CEC 2017: 2201-2208 - [c38]Jialin Liu
Evolving Game Skill-Depth using General Video Game AI agents. CEC 2017: 2299-2307 - [c37]Rokas Volkovas, Michael Fairbank, Diego Perez Liebana:
Diversity maintenance using a population of repelling random-mutation hill climbers. CEEC 2017: 37-42 - [c36]Jose Manuel Gonzalez-Castro, Diego Perez Liebana:
Opponent models comparison for 2 players in GVGAI competitions. CEEC 2017: 151-156 - [c35]Xenija Neufeld, Sanaz Mostaghim
HTN fighter: Planning in a highly-dynamic game. CEEC 2017: 189-194 - [c34]Daniel A. Ashlock, Diego Pérez-Liébana, Amanda Saunders:
General video game playing escapes the no free lunch theorem. CIG 2017: 17-24 - [c33]Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana:
Rolling horizon evolution enhancements in general video game playing. CIG 2017: 88-95 - [c32]Cristina Guerrero-Romero, Annie Louis, Diego Perez Liebana:
Beyond playing to win: Diversifying heuristics for GVGAI. CIG 2017: 118-125 - [c31]Lewis Horsley, Diego Perez Liebana:
Building an automatic sprite generator with deep convolutional generative adversarial networks. CIG 2017: 134-141 - [c30]Ahmed Khalifa
General video game rule generation. CIG 2017: 170-177 - [c29]Diego Perez Liebana, Matthew Stephenson
Introducing real world physics and macro-actions to general video game ai. CIG 2017: 248-255 - [c28]Raluca D. Gaina, Jialin Liu
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. EvoApplications (1) 2017: 418-434 - [c27]Simon M. Lucas, Jialin Liu
Efficient noisy optimisation with the multi-sample and sliding window compact genetic algorithms. SSCI 2017: 1-8 - [i12]Jialin Liu, Julian Togelius, Diego Perez Liebana, Simon M. Lucas:
Evolving Game Skill-Depth using General Video Game AI Agents. CoRR abs/1703.06275 (2017) - [i11]Raluca D. Gaina, Simon M. Lucas, Diego Perez Liebana:
Population Seeding Techniques for Rolling Horizon Evolution in General Video Game Playing. CoRR abs/1704.06942 (2017) - [i10]Kamolwan Kunanusont, Simon M. Lucas, Diego Perez Liebana:
General Video Game AI: Learning from Screen Capture. CoRR abs/1704.06945 (2017) - [i9]Joseph Walton-Rivers, Piers R. Williams, Richard A. Bartle, Diego Perez Liebana, Simon M. Lucas:
Evaluating and Modelling Hanabi-Playing Agents. CoRR abs/1704.07069 (2017) - [i8]Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez Liebana:
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing. CoRR abs/1704.07075 (2017) - [i7]Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement. CoRR abs/1705.01080 (2017) - [i6]Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana:
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. CoRR abs/1706.05086 (2017) - [i5]Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana:
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. CoRR abs/1708.02068 (2017) - 2016
- [j7]Spyridon Samothrakis, Diego Perez Liebana
Predicting Dominance Rankings for Score-Based Games. IEEE Trans. Comput. Intell. AI Games 8(1): 1-12 (2016) - [j6]Diego Perez Liebana
The 2014 General Video Game Playing Competition. IEEE Trans. Comput. Intell. AI Games 8(3): 229-243 (2016) - [c26]Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas:
General Video Game AI: Competition, Challenges and Opportunities. AAAI 2016: 4335-4337 - [c25]Diego Perez Liebana, Sanaz Mostaghim
Multi-objective tree search approaches for general video game playing. CEC 2016: 624-631 - [c24]Jialin Liu
Rolling Horizon Coevolutionary planning for two-player video games. CEEC 2016: 174-179 - [c23]Raluca D. Gaina, Diego Perez Liebana, Simon M. Lucas:
General Video Game for 2 players: Framework and competition. CEEC 2016: 186-191 - [c22]Hendrik Horn, Vanessa Volz, Diego Perez Liebana, Mike Preuss:
MCTS/EA hybrid GVGAI players and game difficulty estimation. CIG 2016: 1-8 - [c21]Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius
Analyzing the robustness of general video game playing agents. CIG 2016: 1-8 - [c20]Piers R. Williams
Ms. Pac-Man Versus Ghost Team CIG 2016 competition. CIG 2016: 1-8 - [c19]Ahmed Khalifa
General Video Game Level Generation. GECCO 2016: 253-259 - [i4]Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Bandit-Based Random Mutation Hill-Climbing. CoRR abs/1606.06041 (2016) - [i3]Jialin Liu, Diego Perez Liebana, Simon M. Lucas:
Rolling Horizon Coevolutionary Planning for Two-Player Video Games. CoRR abs/1607.01730 (2016) - [i2]Jialin Liu, Michael Fairbank, Diego Perez Liebana, Simon M. Lucas:
Optimal resampling for the noisy OneMax problem. CoRR abs/1607.06641 (2016) - [i1]Piers R. Williams, Diego Perez Liebana, Simon M. Lucas:
Ms. Pac-Man Versus Ghost Team CIG 2016 Competition. CoRR abs/1609.02316 (2016) - 2015
- [j5]Diego Perez Liebana
Multiobjective Monte Carlo Tree Search for Real-Time Games. IEEE Trans. Comput. Intell. AI Games 7(4): 347-360 (2015) - [c18]Spyridon Samothrakis, Diego Perez Liebana
Neuroevolution for General Video Game Playing. CIG 2015: 200-207 - [c17]Diego Perez Liebana
Open Loop Search for General Video Game Playing. GECCO 2015: 337-344 - 2014
- [j4]Diego Perez Liebana
Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions. IEEE Trans. Comput. Intell. AI Games 6(1): 31-45 (2014) - [j3]Diego Perez Liebana
Automated Map Generation for the Physical Traveling Salesman Problem. IEEE Trans. Evol. Comput. 18(5): 708-720 (2014) - [c16]Diego Perez Liebana
The 2013 Multi-objective Physical Travelling Salesman Problem Competition. IEEE Congress on Evolutionary Computation 2014: 2314-2321 - [c15]Diego Perez Liebana
Knowledge-based fast evolutionary MCTS for general video game playing. CIG 2014: 1-8 - [c14]Spyridon Samothrakis, Samuel A. Roberts, Diego Perez Liebana
Rolling horizon methods for games with continuous states and actions. CIG 2014: 1-8 - [c13]Simon M. Lucas
Fast Evolutionary Adaptation for Monte Carlo Tree Search. EvoApplications 2014: 349-360 - 2013
- [c12]Diego Perez Liebana
Online and offline learning in multi-objective Monte Carlo Tree Search. CIG 2013: 1-8 - [c11]Diego Perez Liebana
Rolling horizon evolution versus tree search for navigation in single-player real-time games. GECCO 2013: 351-358 - 2012
- [j2]Cameron Browne
A Survey of Monte Carlo Tree Search Methods. IEEE Trans. Comput. Intell. AI Games 4(1): 1-43 (2012) - [c10]Diego Perez Liebana
The physical travelling salesman problem: WCCI 2012 competition. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c9]Simon M. Lucas
Towards more intelligent adaptive video game agents: a computational intelligence perspective. Conf. Computing Frontiers 2012: 293-298 - [c8]Diego Perez Liebana
Monte Carlo Tree Search: Long-term versus short-term planning. CIG 2012: 219-226 - [c7]Diego Perez Liebana
Monte-Carlo Tree Search for the Physical Travelling Salesman Problem. EvoApplications 2012: 255-264 - 2011
- [c6]Diego Perez Liebana
Reactiveness and navigation in computer games: Different needs, different approaches. CIG 2011: 273-280 - [c5]Diego Perez Liebana
Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution. EvoApplications (1) 2011: 123-132 - 2010
- [j1]Daniele Loiacono
The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 2(2): 131-147 (2010)
2000 – 2009
- 2009
- [c4]Diego Perez Liebana
Evolving a fuzzy controller for a Car Racing Competition. CIG 2009: 263-270 - 2008
- [c3]Daniele Loiacono
The WCCI 2008 simulated car racing competition. CIG 2008: 119-126 - [c2]Diego Perez Liebana
Evolving a rule system controller for automatic driving in a car racing competition. CIG 2008: 336-342 - [c1]Yago Sáez
Driving Cars by Means of Genetic Algorithms. PPSN 2008: 1101-1110
Coauthor Index
Dominik Jeurissen
aka: Dominic Jeurissen
aka: Dominic Jeurissen
[c100] [c99] [j18] [c92] [c89] [j16] [j14] [c88] [i42] [c78] [c67] [c65] [c64] [i34] [i31] [b1] [j12] [c63] [c62] [c60] [c59] [c57] [c55] [p2] [i26] [i24] [i23] [i19] [i17] [j11] [j10] [c53] [c52] [c51] [c49] [c48] [c47] [c45] [i16] [i15] [i14] [j9] [c43] [c42] [c41] [c40] [c39] [c38] [c33] [c29] [c28] [c27] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [j7] [j6] [c26] [c25] [c24] [c23] [c21] [c20] [c19] [i4] [i3] [i2] [i1] [j5] [c18] [c17] [j4] [j3] [c16] [c15] [c14] [c13] [c12] [c11] [j2] [c10] [c9] [c8] [c7] [c3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: