Dr Spyros Samothrakis

Soemers, DJNJ., Samothrakis, S., Piette, É. and Stephenson, M., (2023). Extracting tactics learned from self-play in general games. Information Sciences. 624, 277-298

Pisheh Var, M., Fairbank, M. and Samothrakis, S., (2023). A Minimal “Functionally Sentient” Organism Trained with Backpropagation Through Time. Adaptive Behavior. 31 (6), 531-544

Lotun, S., Lamarche, V., Samothrakis, S., Sandstrom, G. and Matran-Fernandez, A., (2022). Parasocial relationships on YouTube reduce prejudice towards mental health issues. Scientific Reports. 12 (1), 16565-

Hernandez, D., Denamganai, K., Devlin, S., Samothrakis, S. and Walker, JA., (2022). A Comparison of Self-Play Algorithms Under a Generalized Framework. IEEE Transactions on Games. 14 (2), 221-231

Fairbank, M., Samothrakis, S. and Citi, L., (2022). Deep Learning in Target Space. Journal of Machine Learning Research. 23, 1-46

Dwivedi, YK., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, PV., Janssen, M., Jones, P., Kar, AK., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., Medaglia, R., Le Meunier-FitzHugh, K., Le Meunier-FitzHugh, LC., Misra, S., Mogaji, E., Sharma, SK., Singh, JB., Raghavan, V., Raman, R., Rana, NP., Samothrakis, S., Spencer, J., Tamilmani, K., Tubadji, A., Walton, P. and Williams, MD., (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management. 57, 101994-101994

Samothrakis, S., (2021). Artificial Intelligence inspired methods for the allocation of common goods and services.. PLoS One. 16 (9), e0257399-e0257399

Samothrakis, S., (2020). Open Loop In Natura Economic Planning. CoRR. abs/2005.01539

Salge, C., Short, E., Preuss, M., Samothrakis, S. and Spronck, P., (2020). Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). 2020 IEEE Conference on Games (CoG). 2020-August, 612-619

Hernández, D., Denamganaï, K., Devlin, S., Samothrakis, S. and Walker, JA., (2020). A Comparison of Self-Play Algorithms Under a Generalized Framework.. CoRR. abs/2006.04471

Samothrakis, S., (2018). Viewpoint: Artificial Intelligence and Labour. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. 2018-July, 5652-5655

Samothrakis, S., (2018). Kathryn E. Merrick: Computational models of motivation for game-playing agents: Springer, 2016, 213 pp, ISBN: 978-3-319-33457-8. Genetic Programming and Evolvable Machines. 19 (4), 567-568

Samothrakis, S., (2018). Kathryn E. Merrick: Computational models of motivation for game-playing agents - Springer, 2016, 213 pp, ISBN: 978-3-319-33457-8.. Genet. Program. Evolvable Mach.. 19, 567-568

Samothrakis, S., Fasli, M., Perez, D. and Lucas, S., (2017). Default policies for global optimisation of noisy functions with severe noise. Journal of Global Optimization. 67 (4), 893-907

Tom Vodopivec, Samothrakis, S. and Brank Ster, (2017). On monte carlo tree search and reinforcement learning. The Journal of Artificial Intelligence Research. 60, 881-936

Samothrakis, S., Perez, D., Lucas, SM. and Rohlfshagen, P., (2016). Predicting Dominance Rankings for Score-Based Games. IEEE Transactions on Computational Intelligence and AI in Games. 8 (1), 1-12

Perez-Liebana, D., Samothrakis, S., Togelius, J., Schaul, T., Lucas, SM., Couetoux, A., Lee, J., Lim, C-U. and Thompson, T., (2016). The 2014 General Video Game Playing Competition. IEEE Transactions on Computational Intelligence and AI in Games. 8 (3), 229-243

Perez, D., Mostaghim, S., Samothrakis, S. and Lucas, SM., (2015). Multiobjective Monte Carlo Tree Search for Real-Time Games. IEEE Transactions on Computational Intelligence and AI in Games. 7 (4), 347-360

Samothrakis, S. and Fasli, M., (2015). Emotional Sentence Annotation Helps Predict Fiction Genre. PLoS One. 10 (11), e0141922-e0141922

Perez, D., Powley, EJ., Whitehouse, D., Rohlfshagen, P., Samothrakis, S., Cowling, PI. and Lucas, SM., (2014). Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions. IEEE Transactions on Computational Intelligence and AI in Games. 6 (1), 31-45

Perez, D., Togelius, J., Samothrakis, S., Rohlfshagen, P. and Lucas, SM., (2014). Automated Map Generation for the Physical Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation. 18 (5), 708-720

Samothrakis, S., Lucas, S., Runarsson, T. and Robles, D., (2013). Coevolving Game-Playing Agents: Measuring Performance and Intransitivities. IEEE Transactions on Evolutionary Computation. 17 (2), 213-226

Friston, K., Samothrakis, S. and Montague, R., (2012). Active inference and agency: optimal control without cost functions. Biological Cybernetics. 106 (8-9), 523-541

Browne, CB., Powley, E., Whitehouse, D., Lucas, SM., Cowling, PI., Rohlfshagen, P., Tavener, S., Perez, D., Samothrakis, S. and Colton, S., (2012). A Survey of Monte Carlo Tree Search Methods. IEEE Transactions on Computational Intelligence and AI in Games. 4 (1), 1-43

Samothrakis, S., Robles, D. and Lucas, S., (2011). Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man. IEEE Transactions on Computational Intelligence and AI in Games. 3 (2), 142-154

Quteineh, H., Samothrakis, S. and Sutcliffe, R., (2022). Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation

Samothrakis, S., Matran-Fernandez, A., Abdullahi, U., Fairbank, M. and Fasli, M., (2022). Grokking-like effects in counterfactual inference

Raza, H., Chowdhury, A., Bhattacharyya, S. and Samothrakis, S., (2020). Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance

Quteineh, H., Samothrakis, S. and Sutcliffe, R., (2020). Textual Data Augmentation for Efficient Active Learning on Tiny Datasets

Salge, C., Short, E., Preuss, M., Samothrakis, S. and Spronck, P., (2020). Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP).

Abdullahi, UI., Samothrakis, S. and Fasli, M., (2020). Causal Inference with Correlation Alignment

Raza, H. and Samothrakis, S., (2019). Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG

Rajalingam, VR. and Samothrakis, S., (2019). Neuroevolution Strategies for Word Embedding Adaptation in Text Adventure Games

Hernandez, D., Denamganai, K., Gao, Y., York, P., Devlin, S., Samothrakis, S. and Walker, JA., (2019). A Generalized Framework for Self-Play Training

Sankarpandi, SK., Samothrakis, S., Citi, L. and Brady, P., (2019). Active learning without unlabeled samples: generating questions and labels using Monte Carlo Tree Search

Alshahrani, M., Samothrakis, S. and Fasli, M., (2019). Identifying idealised vectors for emotion detection using CMA-ES

Samothrakis, S., (2018). Viewpoint: Artificial Intelligence and Labour.

Samothrakis, S., Vodopivec, T., Fairbank, M. and Fasli, M., (2017). Convolutional-Match Networks for Question Answering

Alshahrani, M., Samothrakis, S. and Fasli, M., (2017). Word mover's distance for affect detection

Abdullahi, U., Samothrakis, S. and Fasli, M., (2017). Counterfactual domain adversarial training of neural networks

Abdullahi, UI., Samothrakis, S. and Fasli, M., (2017). Counterfactual Domain Adversarial Training of Neural Networks

Alshahrani, M., Samothrakis, S. and Fasli, M., (2017). Word Mover's Distance for Affect Detection

Perez-Liebana, D., Samothrakis, S., Togelius, J., Lucas, SM. and Schaul, T., (2016). General video game AI: Competition, challenges, and opportunities

Samothrakis, S., Vodopivec, T., Fasli, M. and Fairbank, M., (2016). Match memory recurrent networks

Perez-Liebana, D., Samothrakis, S., Togelius, J., Schaul, T. and Lucas, SM., (2016). Analyzing the robustness of general video game playing agents

Samothrakis, S., Perez-Liebana, D., Lucas, SM. and Fasli, M., (2015). Neuroevolution for General Video Game Playing

Lucas, SM., Samothrakis, S. and Pérez, D., (2014). Fast Evolutionary Adaptation for Monte Carlo Tree Search

Perez, D., Powley, E., Whitehouse, D., Samothrakis, S., Lucas, S. and Cowling, PI., (2014). The 2013 Multi-objective Physical Travelling Salesman Problem Competition

Perez, D., Samothrakis, S. and Lucas, S., (2014). Knowledge-based fast evolutionary MCTS for general video game playing

Samothrakis, S., Roberts, SA., Perez, D. and Lucas, SM., (2014). Rolling horizon methods for games with continuous states and actions

Perez, D., Samothrakis, S., Lucas, S. and Rohlfshagen, P., (2013). Rolling horizon evolution versus tree search for navigation in single-player real-time games

Perez, D., Samothrakis, S. and Lucas, S., (2013). Online and offline learning in multi-objective Monte Carlo Tree Search

Ashlock, D., Ashlock, W., Samothrakis, S., Lucas, S. and Lee, C., (2012). From competition to cooperation: Co-evolution in a rewards continuum

Samothrakis, S. and Lucas, S., (2011). Approximating n-player behavioural strategy nash equilibria using coevolution

Samothrakis, S., Rob, D. and Lucas, SM., (2010). A UCT agent for Tron: Initial investigations

Samothrakis, S. and Lucas, SM., (2010). Planning using online evolutionary overfitting

(1991). Proceedings of the 29th annual meeting on Association for Computational Linguistics -