Simon M. Lucas

ORCID

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 103

Top Venues

Publications

James Goodman, Diego Perez Liebana, Simon M. Lucas
Following the Leader in Multiplayer Tabletop Games. FDG (2023)
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. IEEE Trans. Games 15 (1) (2023)
Ivan Bravi, Simon M. Lucas
Rinascimento: Playing Splendor-Like Games With Event-Value Functions. IEEE Trans. Games 15 (1) (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)
Yizhao Jin, Greg G. Slabaugh, Simon M. Lucas
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning. CoRR (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)
Alvaro Ovalle, Simon M. Lucas
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution. CoRR (2021)
Ivan Bravi, Simon M. Lucas
Rinascimento: searching the behaviour space of Splendor. CoRR (2021)
Ivan Bravi, Simon M. Lucas
Rinascimento: using event-value functions for playing Splendor. CoRR (2020)
Ivan Bravi, Simon M. Lucas
Rinascimento: using event-value functions for playing Splendor. CoG (2020)
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. CoRR (2020)
Martin Balla, Simon M. Lucas, Diego Pérez-Liébana
Evaluating Generalisation in General Video Game Playing. CoRR (2020)
Alvaro Ovalle, Simon M. Lucas
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL. CoRR (2020)
Chris Bamford, Simon M. Lucas
Neural Game Engine: Accurate learning ofgeneralizable forward models from pixels. CoRR (2020)
Martin Balla, Simon M. Lucas, Diego Perez Liebana
Evaluating Generalisation in General Video Game Playing. CoG (2020)
Alexander Dockhorn, Simon M. Lucas
Local Forward Model Learning for GVGAI Games. CoG (2020)
Simon M. Lucas
Cross-Platform Games in Kotlin. CoRR (2020)
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
Interactive evolution and exploration within latent level-design space of generative adversarial networks. GECCO (2020)
Alvaro Ovalle, Simon M. Lucas
Modulation of viability signals for self-regulatory control. 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)
Alvaro Ovalle, Simon M. Lucas
Modulation of Viability Signals for Self-regulatory Control. IWAI (2020)
Raluca D. Gaina, Sam Devlin, Simon M. Lucas, Diego Pérez-Liébana
Rolling Horizon Evolutionary Algorithms for General Video Game Playing. CoRR (2020)
Alvaro Ovalle, Simon M. Lucas
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL. CoG (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)
Chris Bamford, Shengyi Huang, Simon M. Lucas
Griddly: A platform for AI research in games. CoRR (2020)
Simon M. Lucas
Cross-Platform Games in Kotlin. CoG (2020)
Chris Bamford, Simon M. Lucas
Neural Game Engine: Accurate learning of generalizable forward models from pixels. CoG (2020)
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks. CoRR (2020)
Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana
Learning Local Forward Models on Unforgiving Games. 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. CoRR (2019)
Ivan Bravi, Vanessa Volz, Simon M. Lucas
Game AI hyperparameter tuning in rinascimento. GECCO (Companion) (2019)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoG (2019)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods. AAAI (2019)
Cameron Browne, Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Michael Conrad, Walter Crist, Thierry Depaulis, Eddie Duggan, Fred Horn, Steven Kelk, Simon M. Lucas, João Pedro Neto, David Parlett, Abdallah Saffidine, Ulrich Schädler, Jorge Nuno Silva, Alex de Voogt, Mark H. M. Winands
Foundations of Digital Archæoludology. CoRR (2019)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
Project Thyia: A Forever Gameplayer. CoRR (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)
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)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoRR (2019)
Simon M. Lucas, Vanessa Volz
Tile Pattern KL-Divergence for Analysing and Evolving Game Levels. CoRR (2019)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Extracting Learning Curves From Puzzle Games. CEEC (2019)
Simon M. Lucas, Vanessa Volz
Tile pattern KL-divergence for analysing and evolving game levels. GECCO (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)
Alexandros Agapitos, Róisín Loughran, Miguel Nicolau, Simon M. Lucas, Michael O'Neill, Anthony Brabazon
A Survey of Statistical Machine Learning Elements in Genetic Programming. IEEE Trans. Evol. Comput. 23 (6) (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)
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)
Dongbin Zhao, Simon M. Lucas, Julian Togelius
Deep Reinforcement Learning and Games [Guest Editorial]. IEEE Comput. Intell. Mag. 14 (3) (2019)
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor. CoG (2019)
Simon M. Lucas
Game AI Research with Fast Planet Wars Variants. CoRR (2018)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
General Win Prediction from Agent Experience. CIG (2018)
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)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation. CEC (2018)
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network. CoRR (2018)
Simon M. Lucas
Game AI Research with Fast Planet Wars Variants. CIG (2018)
Ivan Bravi, Diego Perez Liebana, Simon M. Lucas, Jialin Liu
Shallow Decision-Making Analysis in General Video Game Playing. CIG (2018)
Raluca D. Gaina, Simon M. Lucas, Diego Pérez-Liébana
VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI. AIIDE (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)
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)
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)
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi
Evolving mario levels in the latent space of a deep convolutional generative adversarial network. GECCO (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)
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)
Alexandros Agapitos, Michael O'Neill, Ahmed Kattan, Simon M. Lucas
Recursion in tree-based genetic programming. Genet. Program. Evolvable Mach. 18 (2) (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)
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)
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)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm. CoRR (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)
Simon M. Lucas
IEEE CIS VP-Education Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 12 (1) (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)
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic. CoRR (2017)
Kamolwan Kunanusont, Simon M. Lucas, Diego Perez Liebana
General Video Game AI: Learning from Screen Capture. CoRR (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)
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)
Simon M. Lucas, Michael Mateas, Mike Preuss, Pieter Spronck, Julian Togelius
Artificial and Computational Intelligence in Games: Integration (Dagstuhl Seminar 15051). Dagstuhl Reports 5 (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Simon M. Lucas