Kevin Badalian

According to our database, Kevin Badalian authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Production-Ready Automated ECU Calibration using Residual Reinforcement Learning.

Andreas Kampmeier, Kevin Badalian, Lucas Koch, Sung-Yong Lee, Jakob Andert

CoRR, April, 2026

2025

Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop.

Mario Picerno, Lucas Koch, Kevin Badalian, Marius Wegener, Joschka Schaub, Charles Robert Koch, Jakob Andert

IEEE Trans. Veh. Technol., July, 2025

Safe Reinforcement Learning for Real-World Engine Control.

Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert

CoRR, January, 2025

2024

LExCI: A framework for reinforcement learning with embedded systems.

Kevin Badalian, Lucas Koch, Tobias Brinkmann, Mario Picerno, Marius Wegener, Sung-Yong Lee, Jakob Andert

Appl. Intell., September, 2024

2023

Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption.

Lucas Koch, Tobias Brinkmann, Marius Wegener, Kevin Badalian, Jakob Andert

IEEE Trans. Intell. Transp. Syst., December, 2023

Automated function development for emission control with deep reinforcement learning.

Lucas Koch, Mario Picerno, Kevin Badalian, Sung-Yong Lee, Jakob Andert

Eng. Appl. Artif. Intell., 2023

Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop.

Mario Picerno, Lucas Koch, Kevin Badalian, Marius Wegener, Joschka Schaub, Charles Robert Koch, Jakob Andert

CoRR, 2023

2021

Accurate physics-based modeling of electric vehicle energy consumption in the SUMO traffic microsimulator.

Lucas Koch, Dominik S. Buse, Marius Wegener, Sven Schoenberg, Kevin Badalian, Falko Dressler, Jakob Andert

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021