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Found 5 papers, 1 papers with code
LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control
Reinforcement Learning (RL) might be very promising for solving a variety of challenges in the field of autonomous driving due to its ability to find long-term oriented solutions in complex decision scenarios.
Improved active output selection strategy for noisy environments
The performance compared to the existing best strategy is the same or better in each example.
Robust Data-Driven Error Compensation for a Battery Model
- This work has been submitted to IFAC for possible publication - Models of traction batteries are an essential tool throughout the development of automotive drivetrains.
Space-Filling Subset Selection for an Electric Battery Model
Dynamic models of the battery performance are an essential tool throughout the development process of automotive drive trains.
Active Output Selection Strategies for Multiple Learning Regression Models
In a best case scenario, the presented strategy is able to decrease the number of points by up to 30% compared to a sequential space-filling design while outperforming other existing active learning strategies.
