Comparing quantum hybrid reinforcement learning to classical methods M Moll, L Kunczik Human-Intelligent Systems Integration 3 (1), 15-23, 2021 | 12 | 2021 |
Vehicle routing optimization for humanitarian logistics in disaster recovery: A survey WK Anuar, M Moll, LS Lee, S Pickl, HV Seow Proceedings of the International Conference on Security and Management (SAM …, 2019 | 8 | 2019 |
A systemic approach for early warning in crisis prevention and management A Kuwertz, M Moll, J Sander, S Pickl Human Systems Engineering and Design II: Proceedings of the 2nd …, 2020 | 7 | 2020 |
A Macroscopic System Dynamics Model for a Generic Airport G Barbeito, M Moll, S Pickl, M Zsifkovits Operations Research Proceedings 2016: Selected Papers of the Annual …, 2018 | 5 | 2018 |
Algorithmic Nudging: The Need for an Interdisciplinary Oversight C Schmauder, J Karpus, M Moll, B Bahrami, O Deroy Topoi 42 (3), 799-807, 2023 | 4 | 2023 |
Utilizing dual information for moving target search trajectory optimization M Raap, M Moll, M Zsifkovits, S Pickl 5th Student Conference on Operational Research (SCOR 2016), 2016 | 4 | 2016 |
Advances in explainable reinforcement learning: An intelligent transportation systems perspective R Milani, M Moll, S Pickl Explainable Artificial Intelligence for Intelligent Transportation Systems …, 2023 | 3 | 2023 |
A visual approach to data fusion in sensor networks M Zsifkovits, M Moll, TS Pham, SW Pickl Proceedings of the International Conference on Security and Management (SAM …, 2017 | 3 | 2017 |
Analysis, Combination and Integration of Neuroevolution and Backpropagation Algorithms for Gaming Environment A Darii, M Moll, MS Nistor, S Pickl, OC Novac, CM Novac, IM Gordan, ... 2023 15th International Conference on Electronics, Computers and Artificial …, 2023 | 2 | 2023 |
Detection of Important States through an Iterative Q-value Algorithm for Explainable Reinforcement Learning R Milani, M Moll, R De Leone | 1 | 2024 |
A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information R Milani, M Moll, R De Leone, S Pickl Sensors 23 (4), 2013, 2023 | 1 | 2023 |
A Case Study for Cyber-Attack Detection using Quantum Variational Circuits M Moll, L Kunczik | 1 | 2023 |
Automatic concrete bridge crack detection from strain measurements: a preliminary study R Milani, T Sahin, M Danwitz, M Moll, A Popp, S Pickl International Conference on Critical Information Infrastructures Security …, 2022 | 1 | 2022 |
Do Artificial Agents Reproduce Human Strategies in the Advisers’ Game? M Moll, J Karpus, B Bahrami International Conference on Operations Research, 603-609, 2022 | 1 | 2022 |
A Hybrid AI and Simulation-Based Optimization DSS for Post-Disaster Logistics G Barbeito, D Budde, M Moll, S Pickl, B Thiebes Advances in Security, Networks, and Internet of Things: Proceedings from SAM …, 2021 | 1 | 2021 |
Predictive Analytics in Aviation Management: Passenger Arrival Prediction M Moll, T Berg, S Ewers, M Schmidt Operations Research Proceedings 2019: Selected Papers of the Annual …, 2020 | 1 | 2020 |
Deterministic and stochastic simulation: a combined approach to passenger routing in railway systems G Barbeito, M Moll, W Bein, S Pickl Operations Research Proceedings 2019: Selected Papers of the Annual …, 2020 | 1 | 2020 |
Two perspectives on playing games: Reinforcement learning vs game theory M Moll, L Kunczik Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2019 | 1 | 2019 |
Towards extending algorithmic strategy planning in system dynamics modeling M Moll 2017 IEEE International Conference on Industrial Engineering and Engineering …, 2017 | 1 | 2017 |
Transportation Network Regulation for Air Pollution Minimization M Raap, M Moll, S Pickl Sustainable Logistics and Transportation: Optimization Models and Algorithms …, 2017 | 1 | 2017 |