| Temporal difference learning of n-tuple networks for the game 2048 M Szubert, W Jaśkowski 2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014 | 67 | 2014 |
| Coevolutionary temporal difference learning for Othello M Szubert, W Jaskowski, K Krawiec 2009 IEEE Symposium on Computational Intelligence and Games, 104-111, 2009 | 34 | 2009 |
| Learning n-tuple networks for Othello by coevolutionary gradient search K Krawiec, MG Szubert Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 33 | 2011 |
| On scalability, generalization, and hybridization of coevolutionary learning: a case study for othello M Szubert, W Jaśkowski, K Krawiec IEEE Transactions on Computational Intelligence and AI in Games 5 (3), 214-226, 2013 | 28 | 2013 |
| A hybrid MIP-based large neighborhood search heuristic for solving the machine reassignment problem W Jaśkowski, M Szubert, P Gawron Annals of Operations Research 242 (1), 33-62, 2016 | 25 | 2016 |
| Improving coevolution by random sampling W Jaśkowski, P Liskowski, M Szubert, K Krawiec Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 21 | 2013 |
| Evolving small-board Go players using coevolutionary temporal difference learning with archives K Krawiec, W Jaśkowski, M Szubert Zielona Góra: Uniwersytet Zielonogórski, 2011 | 17 | 2011 |
| High-dimensional function approximation for knowledge-free reinforcement learning: A case study in SZ-Tetris W Jaśkowski, M Szubert, P Liskowski, K Krawiec Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 14 | 2015 |
| Reducing antagonism between behavioral diversity and fitness in semantic genetic programming M Szubert, A Kodali, S Ganguly, K Das, JC Bongard Proceedings of the Genetic and Evolutionary Computation Conference 2016, 797-804, 2016 | 13 | 2016 |
| Shaping fitness function for evolutionary learning of game strategies M Szubert, W Jaśkowski, P Liskowski, K Krawiec Proceedings of the 15th annual conference on genetic and evolutionary …, 2013 | 12 | 2013 |
| Learning board evaluation function for Othello by hybridizing coevolution with temporal difference learning M Szubert, W Jaśkowski, K Krawiec Control and Cybernetics 40 (3), 805-831, 2011 | 12 | 2011 |
| Semantic forward propagation for symbolic regression M Szubert, A Kodali, S Ganguly, K Das, JC Bongard Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 11 | 2016 |
| Coevolutionary CMA-ES for knowledge-free learning of game position evaluation W Jaśkowski, M Szubert IEEE Transactions on Computational Intelligence and AI in Games 8 (4), 389-401, 2015 | 8 | 2015 |
| The role of behavioral diversity and difficulty of opponents in coevolving game-playing agents M Szubert, W Jaśkowski, P Liskowski, K Krawiec Applications of Evolutionary Computation: 18th European Conference …, 2015 | 8 | 2015 |
| Multi-criteria comparison of coevolution and temporal difference learning on othello W Jaśkowski, M Szubert, P Liskowski Applications of Evolutionary Computation: 17th European Conference …, 2014 | 8 | 2014 |
| Coevolutionary temporal difference learning for small-board Go K Krawiec, M Szubert IEEE Congress on Evolutionary Computation, 1-8, 2010 | 7 | 2010 |
| The performance profile: A multi-criteria performance evaluation method for test-based problems W Jaskowski, P Liskowski, M Szubert, K Krawiec International Journal of Applied Mathematics and Computer Science 26 (1), 215, 2016 | 5 | 2016 |
| cECJ—Coevolutionary computation in Java M Szubert | 5 | 2010 |
| Evolving spatially aggregated features from satellite imagery for regional modeling S Kriegman, M Szubert, JC Bongard, C Skalka International conference on parallel problem solving from nature, 707-716, 2016 | 3 | 2016 |
| Coevolutionary Shaping for Reinforcement Learning M Szubert Poznan University of Technology, 2014 | 2 | 2014 |
Wojciech JaśkowskiSnowflakeCorreu electrònic verificat a snowflake.com