Günther Waxenegger-Wilfing

15 papers C 3Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Robustness and Adaptability in Learning-Based Mission Planning for Active Debris Removal. CoRR Agni Bandyopadhyay, Günther Waxenegger-Wilfing
2026	J	`jnl`	Optimal Multi-Debris Mission Planning in LEO: A Deep Reinforcement Learning Approach with Co-Elliptic Transfers and Refueling. CoRR Agni Bandyopadhyay, Günther Waxenegger-Wilfing
2026	J	`jnl`	Optimizing Mission Planning for Multi-Debris Rendezvous Using Reinforcement Learning with Refueling and Adaptive Collision Avoidance. CoRR Agni Bandyopadhyay, Günther Waxenegger-Wilfing
2025	C	`conf`	The DX Competition 2025 and Its Benchmarks (DX Competition). DX Ingo Pill, Daniel Jung, Eldin Kurudzija, Anna Sztyber-Betley, Michal Syfert, Kai Dresia, Günther Waxenegger-Wilfing, Johan de Kleer
2024	J	`jnl`	Adaptive satellite attitude control for varying masses using deep reinforcement learning. Frontiers Robotics AI Wiebke Retagne, Jonas Dauer, Günther Waxenegger-Wilfing
2024	C	`conf`	Leveraging Causal Information for Multivariate Timeseries Anomaly Detection. DX Lukas Heppel, Andreas Gerhardus, Ferdinand Rewicki, Jan Christian Deeken, Günther Waxenegger-Wilfing
2024	C	`conf`	Property Learning-Based Fault Detection for Liquid Propellant Rocket Engine Control Systems. DX Andrea Urgolo, Ingo Pill, Günther Waxenegger-Wilfing, Manuel Freiberger
2024	J	`jnl`	Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvous. CoRR Agni Bandyopadhyay, Günther Waxenegger-Wilfing
2021	J	`jnl`	A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines. IEEE Trans. Aerosp. Electron. Syst. Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald
2021	J	`jnl`	Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning. CoRR Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin, Justin Hardi, Matthew P. Juniper
2021	J	`jnl`	Machine Learning Methods for the Design and Operation of Liquid Rocket Engines - Research Activities at the DLR Institute of Space Propulsion. CoRR Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald
2020	J	`jnl`	A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines. CoRR Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald
2020	J	`jnl`	Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning. CoRR Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew P. Juniper, Michael Oschwald
2020	J	`jnl`	Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives. CoRR Kai Dresia, Simon Jentzsch, Günther Waxenegger-Wilfing, Robson Hahn, Jan Christian Deeken, Michael Oschwald, Fabio Mota
2019	J	`jnl`	Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks. CoRR Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald