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)

Neuroevolution with CMA-ES for Real-time Gain Tuning of a Car-like Robot Controller. - Ashley Hill; Eric Lucet; Roland Lenain (ICINCO (1), 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)

A New Neural Network Feature Importance Method: Application to Mobile Robots Controllers Gain Tuning. - Ashley Hill; Eric Lucet; Roland Lenain (ICINCO, 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 (ICINCO (Selected Papers), 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 (IROS, 2020)

Online velocity fluctuation of off-road wheeled mobile robots: A reinforcement learning approach. - François Gauthier-Clerc; Ashley Hill; Jean Laneurit; Roland Lenain; Eric Lucet (ICRA, 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 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., 2023)

A Study of Reinforcement Learning Techniques for Path Tracking in Autonomous Vehicles. - Jason Chemin; Ashley Hill; Eric Lucet; Aurélien Mayoue (IV, 2024)