[Publications]


Spyridon Samothrakis
Senor Lecturer/Deputy Director IADS @ University of Essex
email: ssamot [at] essex [dot] ac [dot] uk
Academic Publications
[1] Husam Quteineh, Spyridon Samothrakis, and Richard Sutcliffe. Textual data augmentation for efficient active learning on tiny datasets. Association for Computational Linguistics, 2020. [ bib ]
[2] Daniel Hernandez, Kevin Denamganai, Sam Devlin, Spyridon Samothrakis, and James Alfred Walker. A comparison of self-play algorithms under a generalized framework. arXiv preprint arXiv:2006.04471, 2020. [ bib ]
[3] Michael Fairbank and Spyridon Samothrakis. Deep learning in target space. arXiv preprint arXiv:2006.01578, 2020. [ bib ]
[4] Spyridon Samothrakis. Open loop in natura economic planning. arXiv preprint arXiv:2005.01539, 2020. [ bib ]
[5] Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, and Pieter Spronck. Applications of artificial intelligence in live action role-playing games (larp). In 2020 IEEE Conference on Games (CoG), pages 612--619. IEEE, 2020. [ bib ]
[6] Vivan Raaj Rajalingam and Spyridon Samothrakis. Neuroevolution strategies for word embedding adaptation in text adventure games. In 2019 IEEE Conference on Games (CoG), pages 1--8. IEEE, 2019. [ bib ]
[7] Daniel Hernandez, Kevin Denamganaï, Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, and James Alfred Walker. A generalized framework for self-play training. In 2019 IEEE Conference on Games (CoG), pages 1--8. IEEE, 2019. [ bib ]
[8] Haider Raza and Spyridon Samothrakis. Bagging adversarial neural networks for domain adaptation in non-stationary eeg. In 2019 International Joint Conference on Neural Networks (IJCNN), pages 1--7. IEEE, 2019. [ bib ]
[9] Yogesh K Dwivedi, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John Edwards, Aled Eirug, et al. Artificial intelligence (ai): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, page 101994, 2019. [ bib ]
[10] Mohammed Alshahrani, Spyridon Samothrakis, and Maria Fasli. Identifying idealised vectors for emotion detection using cma-es. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 157--158, 2019. [ bib ]
[11] Spyridon Samothrakis, Diego Perez, and Simon Lucas. Training gradient boosting machines using curve-fitting and information-theoretic features for causal direction detection. In Cause Effect Pairs in Machine Learning, pages 331--338. Springer, Cham, 2019. [ bib ]
[12] David Thue, Mirjam Palosaari Eladhari, Joshua Allen McCoy, Mike Preuß, Spyridon Samothrakis, Emily Short, Anne Sullivan, Michael Treanor, and R Michael Young. Backstory generation. In Dagstuhl Reports, volume 7, pages 118--119. Schloss Dagstuhl Leibniz-Zentrum für Informatik GmbH, 2018. [ bib ]
[13] Spyridon Samothrakis. Kathryn e. merrick: Computational models of motivation for game-playing agents. Genetic Programming and Evolvable Machines, 19(4):567--568, 2018. [ bib ]
[14] Spyridon Samothrakis. artificial intelligence and labour. arXiv preprint arXiv:1803.06563, 2018. [ bib ]
[15] Mohammed Alshahrani, Spyridon Samothrakis, and Maria Fasli. Word mover's distance for affect detection. In 2017 International Conference on the Frontiers and Advances in Data Science (FADS), pages 18--23. IEEE, 2017. [ bib ]
[16] Tom Vodopivec, Spyridon Samothrakis, and Branko Ster. On monte carlo tree search and reinforcement learning. Journal of Artificial Intelligence Research, 60:881--936, 2017. [ bib ]
[17] Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, and Maria Fasli. Convolutional-match networks for question answering. International Joint Conferences on Artificial Intelligence, 2017. [ bib ]
[18] Spyridon Samothrakis, Maria Fasli, Diego Perez, and Simon Lucas. Default policies for global optimisation of noisy functions with severe noise. Journal of Global Optimization, 67(4):893--907, 2017. [ bib ]
[19] Diego Pérez-Liébana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, and Simon M Lucas. Analyzing the robustness of general video game playing agents. In 2016 IEEE Conference on Computational Intelligence and Games (CIG), pages 1--8. IEEE, 2016. [ bib ]
[20] Spyridon Samothrakis, Tom Vodopivec, Maria Fasli, and Michael Fairbank. Match memory recurrent networks. In 2016 International Joint Conference on Neural Networks (IJCNN), pages 1339--1346. IEEE, 2016. [ bib ]
[21] Diego Perez-Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, and Simon Lucas. General video game ai: Competition, challenges and opportunities. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 30, 2016. [ bib ]
[22] Spyridon Samothrakis and Maria Fasli. Emotional sentence annotation helps predict fiction genre. PloS one, 10(11):e0141922, 2015. [ bib ]
[23] Spyridon Samothrakis, Diego Perez-Liebana, Simon M Lucas, and Maria Fasli. Neuroevolution for general video game playing. In 2015 IEEE Conference on Computational Intelligence and Games (CIG), pages 200--207. IEEE, 2015. [ bib ]
[24] Diego Perez-Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M Lucas, Adrien Couëtoux, Jerry Lee, Chong-U Lim, and Tommy Thompson. The 2014 general video game playing competition. IEEE Transactions on Computational Intelligence and AI in Games, 8(3):229--243, 2015. [ bib ]
[25] D Perez, S Samothrakis, J Togelius, T Schaul, and S Lucas. Gvg-ai competition, 2014. [ bib ]
[26] Spyridon Samothrakis, Samuel A Roberts, Diego Perez, and Simon M Lucas. Rolling horizon methods for games with continuous states and actions. In 2014 IEEE Conference on Computational Intelligence and Games, pages 1--8. IEEE, 2014. [ bib ]
[27] Diego Perez, Sanaz Mostaghim, Spyridon Samothrakis, and Simon M Lucas. Multiobjective monte carlo tree search for real-time games. IEEE Transactions on Computational Intelligence and AI in Games, 7(4):347--360, 2014. [ bib ]
[28] Diego Perez, Spyridon Samothrakis, and Simon Lucas. Knowledge-based fast evolutionary mcts for general video game playing. In 2014 IEEE Conference on Computational Intelligence and Games, pages 1--8. IEEE, 2014. [ bib ]
[29] Spyridon Samothrakis, Diego Perez, Simon M Lucas, and Philipp Rohlfshagen. Predicting dominance rankings for score-based games. IEEE Transactions on Computational Intelligence and AI in Games, 8(1):1--12, 2014. [ bib ]
[30] Spyridon Samothrakis. Methods for tackling games of strict competition. PhD thesis, University of Essex, 2014. [ bib ]
[31] Diego Perez, Edward Powley, Daniel Whitehouse, Spyridon Samothrakis, Simon Lucas, and Peter I Cowling. The 2013 multi-objective physical travelling salesman problem competition. In 2014 IEEE Congress on Evolutionary Computation (CEC), pages 2314--2321. IEEE, 2014. [ bib ]
[32] Simon M Lucas, Spyridon Samothrakis, and Diego Perez. Fast evolutionary adaptation for monte carlo tree search. In European Conference on the Applications of Evolutionary Computation, pages 349--360. Springer, Berlin, Heidelberg, 2014. [ bib ]
[33] Diego Perez, Julian Togelius, Spyridon Samothrakis, Philipp Rohlfshagen, and Simon M Lucas. Automated map generation for the physical traveling salesman problem. IEEE Transactions on Evolutionary Computation, 18(5):708--720, 2013. [ bib ]
[34] Diego Perez, Spyridon Samothrakis, and Simon Lucas. Online and offline learning in multi-objective monte carlo tree search. In 2013 IEEE Conference on Computational Inteligence in Games (CIG), pages 1--8. IEEE, 2013. [ bib ]
[35] Diego Perez, Spyridon Samothrakis, Simon Lucas, and Philipp Rohlfshagen. Rolling horizon evolution versus tree search for navigation in single-player real-time games. In Proceedings of the 15th annual conference on Genetic and evolutionary computation, pages 351--358, 2013. [ bib ]
[36] Diego Perez, Edward J Powley, Daniel Whitehouse, Philipp Rohlfshagen, Spyridon Samothrakis, Peter I Cowling, and Simon M Lucas. Solving the physical traveling salesman problem: Tree search and macro actions. IEEE Transactions on Computational Intelligence and AI in Games, 6(1):31--45, 2013. [ bib ]
[37] Daniel Ashlock, Wendy Ashlock, Spyridon Samothrakis, Simon Lucas, and Colin Lee. From competition to cooperation: Co-evolution in a rewards continuum. In 2012 IEEE Conference on Computational Intelligence and Games (CIG), pages 33--40. IEEE, 2012. [ bib ]
[38] Karl Friston, Spyridon Samothrakis, and Read Montague. Active inference and agency: optimal control without cost functions. Biological cybernetics, 106(8):523--541, 2012. [ bib ]
[39] Spyridon Samothrakis, Simon Lucas, ThomasPhilip Runarsson, and David Robles. Coevolving game-playing agents: Measuring performance and intransitivities. IEEE Transactions on Evolutionary Computation, 17(2):213--226, 2012. [ bib ]
[40] Cameron B Browne, Edward Powley, Daniel Whitehouse, Simon M Lucas, Peter I Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, and Simon Colton. A survey of monte carlo tree search methods. IEEE Transactions on Computational Intelligence and AI in games, 4(1):1--43, 2012. [ bib ]
[41] Spyridon Samothrakis and Simon Lucas. Approximating n-player behavioural strategy nash equilibria using coevolution. In Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1107--1114, 2011. [ bib ]
[42] Spyridon Samothrakis, David Robles, and Simon Lucas. 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, 2011. [ bib ]
[43] Spyridon Samothrakis and Simon M Lucas. Planning using online evolutionary overfitting. In 2010 UK Workshop on Computational Intelligence (UKCI), pages 1--6. IEEE, 2010. [ bib ]
[44] Spyridon Samothrakis, David Robles, and Simon M Lucas. A uct agent for tron: Initial investigations. In Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, pages 365--371. IEEE, 2010. [ bib ]