| Evaluating Real-Time Strategy Game States Using Convolutional Neural Networks M Stanescu, NA Barriga, A Hess, M Buro IEEE Computational Intelligence in Games 2016, 2016 | 70 | 2016 |
| Predicting army combat outcomes in StarCraft M Stanescu, SP Hernandez, G Erickson, R Greiner, M Buro Ninth artificial intelligence and interactive digital entertainment conference, 2013 | 55 | 2013 |
| Combining strategic learning with tactical search in real-time strategy games NA Barriga, M Stanescu, M Buro Thirteenth Artificial Intelligence and Interactive Digital Entertainment …, 2017 | 50 | 2017 |
| Hierarchical adversarial search applied to real-time strategy games M Stanescu, NA Barriga, M Buro Tenth Artificial Intelligence and Interactive Digital Entertainment Conference, 2014 | 41 | 2014 |
| Game tree search based on nondeterministic action scripts in real-time strategy games NA Barriga, M Stanescu, M Buro IEEE Transactions on Games 10 (1), 69-77, 2017 | 40 | 2017 |
| Puppet search: Enhancing scripted behavior by look-ahead search with applications to real-time strategy games NA Barriga, M Stanescu, M Buro Eleventh Artificial Intelligence and Interactive Digital Entertainment …, 2015 | 38 | 2015 |
| Using Lanchester attrition laws for combat prediction in StarCraft MA Stanescu, N Barriga, M Buro Eleventh artificial intelligence and interactive digital entertainment …, 2015 | 31 | 2015 |
| Predicting Opponent’s Production in Real-Time Strategy Games with Answer Set Programming M Stanescu, M Certicky IEEE Transactions on Computational Intelligence and AI in Games, 2014 | 30 | 2014 |
| Improving rts game ai by supervised policy learning, tactical search, and deep reinforcement learning NA Barriga, M Stanescu, F Besoain, M Buro IEEE Computational Intelligence Magazine 14 (3), 8-18, 2019 | 24 | 2019 |
| Building Placement Optimization in Real-Time Strategy Games NA Barriga, M Stanescu, M Buro Tenth Annual AAAI Conference on Artificial Intelligence and Interactive …, 2014 | 17 | 2014 |
| Parallel UCT search on GPUs NA Barriga, M Stanescu, M Buro 2014 IEEE Conference on Computational Intelligence and Games, 1-7, 2014 | 15 | 2014 |
| Rating systems with multiple factors M Stanescu Master's thesis, School of Informatics, Univ. of Edinburgh, Edinburgh, UK, 2011 | 14 | 2011 |
| Combining scripted behavior with game tree search for stronger, more robust game AI S Marius, B Michael Game AI Pro 3, 179-187, 2017 | 9 | 2017 |
| Introducing Hierarchical Adversarial Search, a Scalable Search Procedure for Real-Time Strategy Games M Stanescu, NA Barriga, M Buro 21st European Conference on Artificial Intelligence 263, 1099 - 1100, 2014 | 9 | 2014 |
| Combat outcome prediction for real-time strategy games M Stanescu, NA Barriga, M Buro Game AI Pro 3, 301-308, 2017 | 5 | 2017 |
| Outcome Prediction and Hierarchical Models in Real-Time Strategy Games M Stanescu PhD Thesis, University of Alberta, Canada, 2019 | 2 | 2019 |
| Spatial Action Decomposition Learning Applied to RTS Combat Games M Stanescu, M Buro Proceedings of the AIIDE 2018 Workshop on Artificial Intelligence for …, 2018 | 1 | 2018 |
| Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference C Visan, O Pascu, M Stanescu, ED Sandru, C Diaconu, A Buzo, G Pelz, ... arXiv preprint arXiv:2206.02391, 2022 | | 2022 |
| The Quo Vadis submission at Traffic4cast 2019 D Oneata, CG Alexandru, M Stanescu, O Pascu, A Magan, A Postelnicu, ... arXiv preprint arXiv:1910.12363, 2019 | | 2019 |
| Improving RTS Game AI by Supervised Policy Learning, Tactical Search, and Deep Reinforcement Learning M Stanescu, M Buro | | |
Nicolas A. BarrigaUniversidad de TalcaVerified email at utalca.cl
