Ashley Hill
Orcid: 0000-0002-8893-8348
According to our database1,
Ashley Hill
authored at least 10 papers
between 2018 and 2024.
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Bibliography
2024
A Study of Reinforcement Learning Techniques for Path Tracking in Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Online Tuning of Control Parameters for Off-Road Mobile Robots: Novel Deterministic and Neural Network-Based Approaches.
IEEE Robotics Autom. Mag., September, 2023
2021
J. Mach. Learn. Res., 2021
Online velocity fluctuation of off-road wheeled mobile robots: A reinforcement learning approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Online gain setting method for path tracking using CMA-ES: Application to off-road mobile robot control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
A Novel Gradient Feature Importance Method for Neural Networks: An Application to Controller Gain Tuning for Mobile Robots.
Proceedings of the Informatics in Control, Automation and Robotics, 2020
A New Neural Network Feature Importance Method: Application to Mobile Robots Controllers Gain Tuning.
Proceedings of the 17th International Conference on Informatics in Control, 2020
2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics.
CoRR, 2019
Proceedings of the 16th International Conference on Informatics in Control, 2019
2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning.
CoRR, 2018