| Accurate physics-based modeling of electric vehicle energy consumption in the SUMO traffic microsimulator L Koch, DS Buse, M Wegener, S Schoenberg, K Badalian, J Andert 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 31 | 2021 |
| Automated function development for emission control with deep reinforcement learning L Koch, M Picerno, K Badalian, SY Lee, J Andert Engineering Applications of Artificial Intelligence 117, 105477, 2023 | 13 | 2023 |
| Adaptive traffic light control with deep reinforcement learning: An evaluation of traffic flow and energy consumption L Koch, T Brinkmann, M Wegener, K Badalian, J Andert IEEE transactions on intelligent transportation systems 24 (12), 15066-15076, 2023 | 9 | 2023 |
| LExCI: A framework for reinforcement learning with embedded systems K Badalian, L Koch, T Brinkmann, M Picerno, M Wegener, SY Lee, ... Applied Intelligence 54 (17), 8384-8398, 2024 | 2 | 2024 |
| Turbocharger control for emission reduction based on deep reinforcement learning M Picerno, L Koch, K Badalian, SY Lee, J Andert IFAC-PapersOnLine 56 (2), 8266-8271, 2023 | 2 | 2023 |
| Transfer of Reinforcement Learning-Based Controllers from Model-to Hardware-in-the-Loop M Picerno, L Koch, K Badalian, M Wegener, J Schaub, CR Koch, J Andert arXiv preprint arXiv:2310.17671, 2023 | 1 | 2023 |
| Cloud-Based Reinforcement Learning in Automotive Control Function Development L Koch, D Roeser, K Badalian, A Lieb, J Andert Vehicles 5 (3), 914-930, 2023 | 1 | 2023 |
| Transfer of Reinforcement Learning-Based Powertrain Controllers From Model-to Hardware-in-The-Loop M Picerno, L Koch, K Badalian, M Wegener, J Schaub, CR Koch, J Andert IEEE Transactions on Vehicular Technology, 2025 | | 2025 |
| Safe Reinforcement Learning for Real-World Engine Control J Bedei, L Koch, K Badalian, A Winkler, P Schaber, J Andert arXiv preprint arXiv:2501.16613, 2025 | | 2025 |
| “Build Your Hybrid”-A Novel Approach to Test Various Hybrid Powertrain Concepts P Muthyala, J Schaub, K Badalian, S Pischinger SAE Technical Paper, 2023 | | 2023 |
| Turbocharger Control for Emission Reduction Based on Deep Reinforcement Learning SYLJ Andert, M Picerno, L Koch, K Badalian, SY Lee, J Andert, ... | | 2023 |
| “Build Your Hybrid P Muthyala, J Schaub, K Badalian, S Pischinger A Novel Approach to Test Various Hybrid Powertrain Concepts,” SAE Technical …, 2023 | | 2023 |
| Cloud-Based Reinforcement Learning in Automotive Control Function Development. Vehicles 2023, 5, 914–930 L Koch, D Roeser, K Badalian, A Lieb, J Andert | | 2023 |
