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ORCIDMarius Stanescu
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2020 – today
- 2022
[j4]Catalin Visan
, Octavian Pascu, Marius Stanescu, Elena-Diana Sandru, Cristian Diaconu, Andi Buzo, Georg Pelz, Horia Cucu:
Automated circuit sizing with multi-objective optimization based on differential evolution and Bayesian inference. Knowl. Based Syst. 258: 109987 (2022)- [c11]Cristian Manolache, Alexandru Caranica, Marius Stanescu, Horia Cucu, Andi Buzo, Cristian Diaconu, Georg Pelz:
Advanced Operating Conditions Search applied in Analog Circuit Verification. SMACD 2022: 1-4 - [i3]Catalin Visan, Octavian Pascu, Marius Stanescu, Elena-Diana Sandru, Cristian Diaconu, Andi Buzo, Georg Pelz, Horia Cucu:
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference. CoRR abs/2206.02391 (2022) - 2021
- [c10]Catalin Visan, Octavian Pascu, Marius Stanescu, Horia Cucu, Cristian Diaconu, Andi Buzo, Georg Pelz:
Versatility and Population Diversity of Evolutionary Algorithms in Automated Circuit Sizing Applications. SpeD 2021: 68-73
2010 – 2019
- 2019
- [j3]Nicolas A. Barriga, Marius Stanescu, Felipe Besoain, Michael Buro:
Improving RTS Game AI by Supervised Policy Learning, Tactical Search, and Deep Reinforcement Learning. IEEE Comput. Intell. Mag. 14(3): 8-18 (2019) - [i2]Dan Oneata, Cosmin George Alexandru, Marius Stanescu, Octavian Pascu, Alexandru Magan, Adrian Postelnicu, Horia Cucu:
The Quo Vadis submission at Traffic4cast 2019. CoRR abs/1910.12363 (2019) - 2018
- [j2]Nicolas A. Barriga, Marius Stanescu, Michael Buro:
Game Tree Search Based on Nondeterministic Action Scripts in Real-Time Strategy Games. IEEE Trans. Games 10(1): 69-77 (2018) - [c9]Marius Stanescu, Michael Buro:
Spatial Action Decomposition Learning Applied to RTS Combat Games. AIIDE Workshops 2018 - 2017
- [c8]Nicolas A. Barriga, Marius Stanescu, Michael Buro:
Combining Strategic Learning with Tactical Search in Real-Time Strategy Games. AIIDE 2017: 9-15 - [i1]Nicolas A. Barriga, Marius Stanescu, Michael Buro:
Combining Strategic Learning and Tactical Search in Real-Time Strategy Games. CoRR abs/1709.03480 (2017) - 2016
- [j1]Marius Stanescu, Michal Certický:
Predicting Opponent's Production in Real-Time Strategy Games With Answer Set Programming. IEEE Trans. Comput. Intell. AI Games 8(1): 89-94 (2016) - [c7]Marius Stanescu, Nicolas A. Barriga, Andy Hess, Michael Buro:
Evaluating real-time strategy game states using convolutional neural networks. CIG 2016: 1-7 - 2015
- [c6]Nicolas Arturo Barriga, Marius Stanescu, Michael Buro:
Puppet Search: Enhancing Scripted Behavior by Look-Ahead Search with Applications to Real-Time Strategy Games. AIIDE 2015: 9-15 - [c5]Marius Adrian Stanescu, Nicolas A. Barriga, Michael Buro:
Using Lanchester Attrition Laws for Combat Prediction in StarCraft. AIIDE 2015: 86-92 - 2014
- [c4]Marius Stanescu, Nicolas A. Barriga, Michael Buro:
Hierarchical Adversarial Search Applied to Real-Time Strategy Games. AIIDE 2014 - [c3]Nicolas A. Barriga, Marius Stanescu, Michael Buro:
Parallel UCT search on GPUs. CIG 2014: 1-7 - [c2]Marius Stanescu, Nicolas A. Barriga, Michael Buro:
Introducing Hierarchical Adversarial Search, a Scalable Search Procedure for Real-Time Strategy Games. ECAI 2014: 1099-1100 - 2013
- [c1]Marius Stanescu, Sergio Poo Hernandez, Graham Erickson, Russell Greiner, Michael Buro:
Predicting Army Combat Outcomes in StarCraft. AIIDE 2013
Coauthor Index
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