| Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network V Volz, J Schrum, J Liu, SM Lucas, A Smith, S Risi Proceedings of the Companion Publication of the 2018 Annual Conference on …, 2018 | 303 | 2018 |
| General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms D Perez-Liebana, J Liu, A Khalifa, RD Gaina, J Togelius, SM Lucas IEEE Transactions on Games 11 (3), 195-214, 2019 | 227 | 2019 |
| Deep reinforcement learning for general video game ai RR Torrado, P Bontrager, J Togelius, J Liu, D Perez-Liebana 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 189 | 2018 |
| Deep learning for procedural content generation J Liu, S Snodgrass, A Khalifa, S Risi, GN Yannakakis, J Togelius Neural Computing and Applications 33, 19-37, 2021 | 183 | 2021 |
| Interactive evolution and exploration within latent level-design space of generative adversarial networks J Schrum, J Gutierrez, V Volz, J Liu, S Lucas, S Risi Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 67 | 2020 |
| Analysis of vanilla rolling horizon evolution parameters in general video game playing RD Gaina, J Liu, SM Lucas, D Pérez-Liébana European Conference on the Applications of Evolutionary Computation, 418-434, 2017 | 64 | 2017 |
| Pac-Man Conquers Academia: Two Decades of Research Using a Classic Arcade Game P Rohlfshagen, J Liu, D Perez-Liebana, SM Lucas IEEE Transactions on Games 10 (3), 233-256, 2017 | 59 | 2017 |
| Experience-driven PCG via reinforcement learning: A Super Mario Bros study T Shu, J Liu, GN Yannakakis 2021 IEEE Conference on Games (CoG), 1-9, 2021 | 56 | 2021 |
| The n-tuple bandit evolutionary algorithm for game agent optimisation SM Lucas, J Liu, D Perez-Liebana 2018 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2018 | 55 | 2018 |
| PSO-based fuzzy markup language for student learning performance evaluation and educational application CS Lee, MH Wang, CS Wang, O Teytaud, J Liu, SW Lin, PH Hung IEEE Transactions on Fuzzy Systems (TFS) 26 (5), 2618 - 2633, 2018 | 55 | 2018 |
| The n-tuple bandit evolutionary algorithm for automatic game improvement K Kunanusont, RD Gaina, J Liu, D Perez-Liebana, SM Lucas 2017 IEEE Congress on Evolutionary Computation (CEC), 2201-2208, 2017 | 52 | 2017 |
| The 2016 Two-Player GVGAI Competition D Gaina, Raluca D. and Couetoux, Adrien and Soemers, Dennis J.N.J. and ... IEEE Transactions on Games 10 (2), 209-220, 2017 | 46 | 2017 |
| Versatile Black-Box Optimization J Liu, A Moreau, M Preuss, B Roziere, J Rapin, F Teytaud, O Teytaud Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 40 | 2020 |
| Evolving game skill-depth using general video game ai agents J Liu, J Togelius, D Pérez-Liébana, SM Lucas 2017 IEEE Congress on Evolutionary Computation (CEC), 2299-2307, 2017 | 39 | 2017 |
| Self-Adaptive MCTS for General Video Game Playing CF Sironi, J Liu, D Perez-Liebana, RD Gaina, I Bravi, SM Lucas, ... Applications of Evolutionary Computation: 21st European Conference …, 2018 | 36 | 2018 |
| General Video Game Artificial Intelligence. Morgan & Claypool Publishers, 2019, vol. 3, no. 2 D Perez-Liebana, SM Lucas, RD Gaina, J Togelius, A Khalifa, J Liu | 34* | 2019 |
| Mitigating unfairness via evolutionary multi-objective ensemble learning Q Zhang, J Liu, Z Zhang, J Wen, B Mao, X Yao IEEE Transactions on Evolutionary Computation 27 (4), 848 - 862, 2023 | 30 | 2023 |
| Algorithm portfolios for noisy optimization ML Cauwet, J Liu, B Rozière, O Teytaud Annals of Mathematics and Artificial Intelligence (AMAI) 76 (1-2), 143-172, 2016 | 30 | 2016 |
| Algorithm portfolios for noisy optimization: Compare solvers early ML Cauwet, J Liu, O Teytaud International Conference on Learning and Intelligent Optimization (LION), 1-15, 2014 | 30 | 2014 |
| Self-adaptive Monte Carlo Tree Search in general game playing CF Sironi, J Liu, MHM Winands IEEE Transactions on Games 12 (2), 132-144, 2018 | 27 | 2018 |
Simon LucasProfessor of Artificial Intelligence, Queen Mary University of LondonDirección de correo verificada de qmul.ac.uk
