Simon M. Lucas

Queen Mary University of London — United Kingdom

Computer Science · Physical Sciences

40h-index9.3kcitations359works0.72yr avg
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Research Topics

Artificial Intelligence in Games(160), Reinforcement Learning in Robotics(86), Evolutionary Algorithms and Applications(80), Digital Games and Media(66), Metaheuristic Optimization Algorithms Research(46)

Publications358 total

Constraint Propagation for Reasoning in Single-Player Deduction Games
2025
Play Style Identification Using Low-Level Representations of Play Traces in Microrts
2025
JSON-Bag: A Generic Game Trajectory Representation
2025
JSON-Bag: A generic game trajectory representation
arXiv (Cornell University)·2025Open Access
Statistical Forward Planning Algorithms
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025
A GenAI Competence Framework for Engineering Curriculum Enhancement in Higher Education
Intelligent Technologies in Education·2025· 1 citedOpen Access
Cluedo AI: Applying Constraint-Solving Methods to Play the Multi-Player Deduction Game Cluedo
2025· 2 citedOpen Access
Artificial Intelligence for Automatic Detection and Differentiation of Anal HPV-related Dysplastic Lesions: An Interoperable Multicentric Study
Endoscopy·2025
Seeding for Success: Skill and Stochasticity in Tabletop Games
IEEE Transactions on Games·2025· 1 citedOpen Access
Intrusion detection in software defined networks with imbalanced attack classes
ITU Journal on Future and Evolving Technologies·2024· 1 citedOpen Access
From Code to Play: Benchmarking Program Search for Games Using Large Language Models
arXiv (Cornell University)·2024Open Access
Playing Games with Computational Intelligence
IEEE RESOURCE CENTERS·2024Open Access
Measuring Randomness in Tabletop Games
2024· 2 cited
Skill Depth in Tabletop Board Games
2024· 1 cited
Deduction Game Framework and Information Set Entropy Search
2024· 2 cited
Deduction Game Framework and Information Set Entropy Search
arXiv (Cornell University)·2024Open Access
Partial Advantage Estimator for Proximal Policy Optimization
IEEE Transactions on Games·2024· 3 citedOpen Access
Deep learning and High-Resolution Anoscopy: development of an interoperable algorithm for the detection and differentiation of anal squamous cell carcinoma precursors – a multicentric study
Endoscopy·2024
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning
arXiv (Cornell University)·2023· 1 citedOpen Access
A case study in AI-assisted board game design
2023Open Access
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Frequent Co-authors

Julian Togelius(16), Diego Pérez-Liébana(15), Spyridon Samothrakis(9), Philipp Rohlfshagen(6), Jialin Liu(4), Tom Schaul(4), Renzo De Nardi(3), Tommy Thompson(3), Thomas Philip Rúnarsson(3), Raluca D. Gaina(3), David Robles(3), Edward J. Powley(2), Daniel Whitehouse(2), Peter Cowling(2), Alex Panaretos(2), Luis Sosa(2), Anthony Tang(2), Shirley Wong(2), R. Michael Young(2), Graham Kendall(2)