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Ashley WD Hill
Ashley WD Hill
Research Engineer
Verified email at ensta-paristech.fr - Homepage
Title
Cited by
Cited by
Year
Stable-baselines3: Reliable reinforcement learning implementations
A Raffin, A Hill, A Gleave, A Kanervisto, M Ernestus, N Dormann
Journal of Machine Learning Research 22 (268), 1-8, 2021
16352021
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
8712018
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
A Raffin, A Hill, R Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
arXiv preprint arXiv:1901.08651, 2019
602019
S-RL toolbox: Environments, datasets and evaluation metrics for state representation learning
A Raffin, A Hill, R Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
arXiv preprint arXiv:1809.09369, 2018
352018
Stable baselines3 (2019)
A Raffin, A Hill, M Ernestus, A Gleave, A Kanervisto, N Dormann
URL https://github. com/DLR-RM/stable-baselines3, 0
24
Online gain setting method for path tracking using CMA-ES: Application to off-road mobile robot control
A Hill, J Laneurit, R Lenain, E Lucet
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
82020
Online velocity fluctuation of off-road wheeled mobile robots: A reinforcement learning approach
F Gauthier-Clerc, A Hill, J Laneurit, R Lenain, E Lucet
2021 IEEE International Conference on Robotics and Automation (ICRA), 2421-2427, 2021
52021
Neuroevolution with CMA-ES for Real-time Gain Tuning of a Car-like Robot Controller
A Hill, E Lucet, R Lenain
ICINCO 1, 311, 2019
52019
A new neural network feature importance method: Application to mobile robots controllers gain tuning
A Hill, E Lucet, R Lenain
ICINCO 2020, 17th International Conference on Informatics in Control …, 2020
42020
Online Tuning of Control Parameters for Off-Road Mobile Robots: Novel Deterministic and Neural Network-Based Approaches
AWD Hill, J Laneurit, R Lenain, E Lucet
IEEE Robotics & Automation Magazine, 2022
12022
Online Gain Tuning Using Neural Networks: A Comparative Study
A Hill, J Laneurit, R Lenain, E Lucet
AgriEngineering 4 (4), 1200-1211, 2022
2022
A Novel Gradient Feature Importance Method for Neural Networks: An Application to Controller Gain Tuning for Mobile Robots
A Hill, E Lucet, R Lenain
International Conference on Informatics in Control, Automation and Robotics …, 2020
2020
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