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ORCIDSpyridon Samothrakis
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- affiliation: University of Essex, UK
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2020 – today
- 2024
[j18]Damian Machlanski
, Spyridon Samothrakis, Paul Clarke:
Undersmoothing Causal Estimators With Generative Trees. IEEE Access 12: 38562-38574 (2024)- [j17]Alex Batsis, Spyridon Samothrakis:
Contextual reinforcement learning for supply chain management. Expert Syst. Appl. 249: 123541 (2024) - [c29]Spyridon Samothrakis, Dennis J. N. J. Soemers, Damian Machlanski:
Games of Knightian Uncertainty as AGI testbeds. CoG 2024: 1-4 - [c28]Damian Machlanski, Spyridon Samothrakis, Paul Clarke:
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice. CLeaR 2024: 703-739 - [i9]Spyridon Samothrakis, Dennis J. N. J. Soemers, Damian Machlanski:
Games of Knightian Uncertainty as AGI testbeds. CoRR abs/2406.18178 (2024) - 2023
- [j16]Mahrad Pisheh Var, Michael Fairbank, Spyridon Samothrakis:
A Minimal "Functionally Sentient" Organism Trained With Backpropagation Through Time. Adapt. Behav. 31(6): 531-544 (2023) - [j15]Dennis J. N. J. Soemers, Spyridon Samothrakis, Éric Piette, Matthew Stephenson:
Extracting tactics learned from self-play in general games. Inf. Sci. 624: 277-298 (2023) - [c27]George E. M. Long, Diego Pérez-Liébana, Spyridon Samothrakis:
Balancing Wargames through Predicting Unit Point Costs. CoG 2023: 1-8 - [i8]Damian Machlanski, Spyridon Samothrakis, Paul Clarke:
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation. CoRR abs/2303.01412 (2023) - [i7]Damian Machlanski, Spyridon Samothrakis, Paul Clarke:
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice. CoRR abs/2310.18212 (2023) - 2022
- [j14]Michael Fairbank, Spyridon Samothrakis, Luca Citi:
Deep Learning in Target Space. J. Mach. Learn. Res. 23: 8:1-8:46 (2022) - [j13]Daniel Hernández, Kevin Denamganaï, Sam Devlin, Spyridon Samothrakis, James Alfred Walker:
A Comparison of Self-Play Algorithms Under a Generalized Framework. IEEE Trans. Games 14(2): 221-231 (2022) - [c26]Husam Quteineh, Spyridon Samothrakis, Richard F. E. Sutcliffe:
Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation. COLING 2022: 5955-5965 - [c25]Spyridon Samothrakis, Ana Matran-Fernandez, Umar I. Abdullahi, Michael Fairbank, Maria Fasli:
Grokking-like effects in counterfactual inference. IJCNN 2022: 1-8 - [i6]Damian Machlanski, Spyros Samothrakis, Paul Clarke:
Undersmoothing Causal Estimators with Generative Trees. CoRR abs/2203.08570 (2022) - 2020
- [c24]Umar I. Abdullahi, Spyros Samothrakis, Maria Fasli:
Causal Inference with Correlation Alignment. IEEE BigData 2020: 4971-4980 - [c23]Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck:
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoG 2020: 612-619 - [c22]Husam Quteineh, Spyridon Samothrakis, Richard F. E. Sutcliffe:
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets. EMNLP (1) 2020: 7400-7410 - [c21]Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya, Spyros Samothrakis:
Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. IJCNN 2020: 1-8 - [i5]Spyridon Samothrakis:
Open Loop In Natura Economic Planning. CoRR abs/2005.01539 (2020) - [i4]Michael Fairbank, Spyridon Samothrakis:
Deep Learning in Target Space. CoRR abs/2006.01578 (2020) - [i3]Daniel Hernández, Kevin Denamganaï, Sam Devlin, Spyridon Samothrakis, James Alfred Walker:
A Comparison of Self-Play Algorithms Under a Generalized Framework. CoRR abs/2006.04471 (2020) - [i2]Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck:
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoRR abs/2008.11003 (2020)
2010 – 2019
- 2019
- [c20]Sathish K. SankarPandi, Spyros Samothrakis, Luca Citi, Peter Brady:
Active learning without unlabeled samples: generating questions and labels using Monte Carlo Tree Search. IEEE BigData 2019: 4628-4631 - [c19]Daniel Hernández, Kevin Denamganaï, Alex Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, James Alfred Walker:
A Generalized Framework for Self-Play Training. CoG 2019: 1-8 - [c18]Vivan Raaj Rajalingam, Spyridon Samothrakis:
Neuroevolution Strategies for Word Embedding Adaptation in Text Adventure Games. CoG 2019: 1-8 - [c17]Mohammed Alshahrani, Spyridon Samothrakis, Maria Fasli:
Identifying idealised vectors for emotion detection using CMA-ES. GECCO (Companion) 2019: 157-158 - [c16]Haider Raza, Spyridon Samothrakis:
Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG. IJCNN 2019: 1-7 - [p1]Spyridon Samothrakis, Diego Perez Liebana, Simon M. Lucas:
Training Gradient Boosting Machines Using Curve-Fitting and Information-Theoretic Features for Causal Direction Detection. Cause Effect Pairs in Machine Learning 2019: 331-338 - 2018
- [j12]Spyridon Samothrakis:
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(4): 567-568 (2018) - [c15]Spyridon Samothrakis:
Viewpoint: Artificial Intelligence and Labour. IJCAI 2018: 5652-5655 - [i1]Spyridon Samothrakis:
Viewpoint: Artificial Intelligence and Labour. CoRR abs/1803.06563 (2018) - 2017
- [j11]Tom Vodopivec, Spyridon Samothrakis, Branko Ster:
On Monte Carlo Tree Search and Reinforcement Learning. J. Artif. Intell. Res. 60: 881-936 (2017) - [j10]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): 893-907 (2017) - [c14]Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, Maria Fasli:
Convolutional-Match Networks for Question Answering. IJCAI 2017: 2686-2692 - 2016
- [j9]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): 1-12 (2016) - [j8]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): 229-243 (2016) - [c13]Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas:
General Video Game AI: Competition, Challenges and Opportunities. AAAI 2016: 4335-4337 - [c12]Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas:
Analyzing the robustness of general video game playing agents. CIG 2016: 1-8 - [c11]Spyridon Samothrakis, Tom Vodopivec, Maria Fasli, Michael Fairbank:
Match memory recurrent networks. IJCNN 2016: 1339-1346 - 2015
- [j7]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): 347-360 (2015) - [c10]Spyridon Samothrakis, Diego Perez Liebana, Simon M. Lucas, Maria Fasli:
Neuroevolution for General Video Game Playing. CIG 2015: 200-207 - 2014
- [b1]Spyridon Samothrakis:
Methods for tackling games of strict competition. University of Essex, Colchester, UK, 2014 - [j6]Diego Perez Liebana, Edward Jack Powley, Daniel Whitehouse, Philipp Rohlfshagen, Spyridon Samothrakis, Peter I. Cowling, Simon M. Lucas:
Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions. IEEE Trans. Comput. Intell. AI Games 6(1): 31-45 (2014) - [j5]Diego Perez Liebana, Julian Togelius, Spyridon Samothrakis, Philipp Rohlfshagen, Simon M. Lucas:
Automated Map Generation for the Physical Traveling Salesman Problem. IEEE Trans. Evol. Comput. 18(5): 708-720 (2014) - [c9]Diego Perez Liebana, Edward Jack Powley, Daniel Whitehouse, Spyridon Samothrakis, Simon M. Lucas, Peter I. Cowling:
The 2013 Multi-objective Physical Travelling Salesman Problem Competition. IEEE Congress on Evolutionary Computation 2014: 2314-2321 - [c8]Diego Perez Liebana, Spyridon Samothrakis, Simon M. Lucas:
Knowledge-based fast evolutionary MCTS for general video game playing. CIG 2014: 1-8 - [c7]Spyridon Samothrakis, Samuel A. Roberts, Diego Perez Liebana, Simon M. Lucas:
Rolling horizon methods for games with continuous states and actions. CIG 2014: 1-8 - [c6]Simon M. Lucas, Spyridon Samothrakis, Diego Perez Liebana:
Fast Evolutionary Adaptation for Monte Carlo Tree Search. EvoApplications 2014: 349-360 - 2013
- [j4]Spyridon Samothrakis, Simon M. Lucas, Thomas Philip Runarsson, David Robles:
Coevolving Game-Playing Agents: Measuring Performance and Intransitivities. IEEE Trans. Evol. Comput. 17(2): 213-226 (2013) - [c5]Diego Perez Liebana, Spyridon Samothrakis, Simon M. Lucas:
Online and offline learning in multi-objective Monte Carlo Tree Search. CIG 2013: 1-8 - [c4]Diego Perez Liebana, Spyridon Samothrakis, Simon M. Lucas, Philipp Rohlfshagen:
Rolling horizon evolution versus tree search for navigation in single-player real-time games. GECCO 2013: 351-358 - 2012
- [j3]Karl J. Friston, Spyridon Samothrakis, P. Read Montague:
Active inference and agency: optimal control without cost functions. Biol. Cybern. 106(8-9): 523-541 (2012) - [j2]Cameron Browne, Edward Jack Powley, Daniel Whitehouse, Simon M. Lucas, Peter I. Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez Liebana, Spyridon Samothrakis, Simon Colton:
A Survey of Monte Carlo Tree Search Methods. IEEE Trans. Comput. Intell. AI Games 4(1): 1-43 (2012) - [c3]Daniel A. Ashlock, Wendy Ashlock, Spyridon Samothrakis, Simon M. Lucas, Colin Lee:
From competition to cooperation: Co-evolution in a rewards continuum. CIG 2012: 33-40 - 2011
- [j1]Spyridon Samothrakis, David Robles, Simon M. Lucas:
Fast Approximate Max-n Monte Carlo Tree Search for Ms Pac-Man. IEEE Trans. Comput. Intell. AI Games 3(2): 142-154 (2011) - [c2]Spyridon Samothrakis, Simon M. Lucas:
Approximating n-player behavioural strategy nash equilibria using coevolution. GECCO 2011: 1107-1114 - 2010
- [c1]Spyridon Samothrakis, David Robles, Simon M. Lucas:
A UCT agent for Tron: Initial investigations. CIG 2010: 365-371
Coauthor Index
aka: Diego Pérez-Liébana
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last updated on 2024-09-13 00:43 CEST by the dblp team
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