Roman Liessner

Safe Deep Reinforcement Learning Hybrid Electric Vehicle Energy Management

Bernard Bäker, Roman Liessner, Ansgar Malte Dietermann, 2018, ICAART.

Hyperparameter Optimization for Deep Reinforcement Learning in Vehicle Energy Management

Bernard Bäker, Roman Liessner, Jakob Schmitt, 2019, ICAART.

Simultaneous Electric Powertrain Hardware and Energy Management Optimization of a Hybrid Electric Vehicle Using Deep Reinforcement Learning and Bayesian Optimization

Roman Liessner, Alexander Lorenz, Jakob Schmitt, 2019, 2019 IEEE Vehicle Power and Propulsion Conference (VPPC).

Deep Reinforcement Learning for Advanced Energy Management of Hybrid Electric Vehicles

Christian Schroer, Bernard Bäker, Roman Liessner, 2018, ICAART.

Generation of Replacement Vehicle Speed Cycles Based on Extensive Customer Data by Means of Markov Models and Threshold Accepting

Bernard Bäker, Roman Liessner, Ansgar Dietermann, 2017 .

Using Deep Reinforcement Learning for Hybrid Electric Vehicle Energy Management under Consideration of Dynamic Emission Models

Bernard Bäker, Roman Liessner, Alexander Lorenz, 2020 .

Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting

Bernard Bäker, Roman Liessner, Robert Fechert, 2017, VEHITS.

Derivation of Real-World Driving Cycles Corresponding to Traffic Situation and Driving Style on the Basis of Markov Models and Cluster Analyses

Bernard Bäker, Roman Liessner, Ansgar Dietermann, 2016 .

Explainable Reinforcement Learning for Longitudinal Control

Marco Wiering, Roman Liessner, Jan Dohmen, 2021, ICAART.

LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control

Bernard Bäker, Roman Liessner, Jan Dohmen, 2021, ICAART.