Thomas Philip Runarsson

Home * People * Thomas Philip Runarsson

Thomas Philip Runarsson [1] Thomas Philip Runarsson,

an Icelandic computer scientist a professor within the School of Engineering and Natural Sciences, at the University of Iceland. His research interests include evolutionary computation, global optimization, games, approximated dynamic programming, statistical learning, heuristics and real world applications.

Thomas Philip Runarsson (2000). Evolutionary Problem Solving. Ph.D. thesis, University of Iceland, advisors: Magnus Thor Jonsson and Xin Yao [3]
Thomas Philip Runarsson, Xin Yao (2000). Stochastic ranking for constrained evolutionary optimization. IEEE Transactions on Evolutionary Computation, Vol. 4, No. 3
Thomas Philip Runarsson (2003). An Asynchronous Parallel Evolution Strategy. International Journal of Computational Intelligence and Applications, Vol. 3
Thomas Philip Runarsson, Xin Yao (2005). Search biases in constrained evolutionary optimization. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 35, No. 2, pdf
Thomas Philip Runarsson, Simon Lucas (2005). Coevolution versus self-play temporal difference learning for acquiring position evaluation in small-board go. IEEE Transactions on Evolutionary Computation, Vol. 9, No. 6
Simon Lucas, Thomas Philip Runarsson (2006). Temporal Difference Learning versus Co-Evolution for Acquiring Othello Position Evaluation. IEEE CIG 2006
Thomas Philip Runarsson, Egill Orn Jonsson (2007). Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration. IEEE CIG 2007
Thomas Philip Runarsson, Juan Julián Merelo-Guervos (2009). Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms. arXiv:0912.2415

Juan Julián Merelo-Guervos, Antonio Miguel Mora, Thomas Philip Runarsson (2011). Beating exhaustive search at its own game: revisiting evolutionary mastermind. GECCO 2010
Thomas Philip Runarsson (2011). Learning Heuristic Policies - A Reinforcement Learning Problem. LION 2011, pdf
Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag (2012). Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling. arXiv:1210.0374
Thomas Philip Runarsson, Simon Lucas (2012). Imitating play from game trajectories: Temporal difference learning versus preference learning. IEEE CIG 2012
Spyridon Samothrakis, Simon Lucas, Thomas Philip Runarsson, David Robles (2013). Coevolving Game-Playing Agents: Measuring Performance and Intransitivities. IEEE Transactions on Evolutionary Computation, Vol. 17, No. 2
Thomas Philip Runarsson (2014). Asynchronous Parallel (1+1)-CMA-ES for Constrained Global Optimisation. IJCCI 2014
Thomas Philip Runarsson, Simon Lucas (2014). Preference Learning for Move Prediction and Evaluation Function Approximation in Othello. IEEE CIG 2014
Thomas Philip Runarsson, Simon Lucas (2015). On imitating Connect-4 game trajectories using an approximate n-tuple evaluation function. IEEE CIG 2015
Thomas Philip Runarsson (2017). Deep Preference Neural Network for Move Prediction in Board Games. CGW@IJCAI 2017

External Links