Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting. - Roman Liessner; Robert Fechert; Bernard Bäker (VEHITS, 2017)

Safe Deep Reinforcement Learning Hybrid Electric Vehicle Energy Management. - Roman Liessner; Ansgar Malte Dietermann; Bernard Bäker (ICAART (Revised Selected Papers), 2018)

Deep Reinforcement Learning for Advanced Energy Management of Hybrid Electric Vehicles. - Roman Liessner; Christian Schroer; Ansgar Malte Dietermann; Bernard Bäker (ICAART (2), 2018)

Hyperparameter Optimization for Deep Reinforcement Learning in Vehicle Energy Management. - Roman Liessner; Jakob Schmitt; Ansgar Dietermann; Bernard Bäker (ICAART (2), 2019)

LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control. - Jan Dohmen; Roman Liessner; Christoph Friebel; Bernard Bäker (ICAART (2), 2021)

Explainable Reinforcement Learning for Longitudinal Control. - Roman Liessner; Jan Dohmen; Marco A. Wiering (ICAART (2), 2021)

X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning. - Farhad Safaei; Milos Nenadovic; Roman Liessner; Raphael Theilen; Jakob Wittenstein; Jens Lehmann 001; Sahar Vahdati (ECAI, 2024)

Intelligent Railway Capacity and Traffic Management Using Multi-Agent Deep Reinforcement Learning. - Stefan Schneider; Anirudha Ramesh; Anne Roets; Ciprian Stirbu; Farhad Safaei; Faten Ghriss; Jan Wülfing; Mehmet Güra; Nima Sibon; Rick Gentry; Roman Liessner; Thomas Hustache; et al. (ITSC, 2024)