Ashley Hill

According to our database, Ashley Hill authored at least 9 papers between 2018 and 2023.

Collaborative distances:

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

2023

Online Tuning of Control Parameters for Off-Road Mobile Robots: Novel Deterministic and Neural Network-Based Approaches.

Ashley Hill, Jean Laneurit, Roland Lenain, Eric Lucet

IEEE Robotics Autom. Mag., September, 2023

2021

Stable-Baselines3: Reliable Reinforcement Learning Implementations.

Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann

J. Mach. Learn. Res., 2021

Online velocity fluctuation of off-road wheeled mobile robots: A reinforcement learning approach.

François Gauthier-Clerc, Ashley Hill, Jean Laneurit, Roland Lenain, Eric Lucet

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.

Ashley Hill, Jean Laneurit, Roland Lenain, Eric Lucet

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.

Ashley Hill, Eric Lucet, Roland Lenain

Proceedings of the Informatics in Control, Automation and Robotics, 2020

A New Neural Network Feature Importance Method: Application to Mobile Robots Controllers Gain Tuning.

Ashley Hill, Eric Lucet, Roland Lenain

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.

Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019

Neuroevolution with CMA-ES for Real-time Gain Tuning of a Car-like Robot Controller.

Ashley Hill, Eric Lucet, Roland Lenain

Proceedings of the 16th International Conference on Informatics in Control, 2019

2018

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning.

Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat

CoRR, 2018