Ashley Hill

Laboratoire d’Informatique et Systèmes, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Laboratoire d'Intégration des Systèmes et des Technologies

Papers

8

Total Citations

71

H-Index

5

About

No biography available yet.

Research Focus

Computer science8 · 71 citations
Artificial intelligence8 · 71 citations
Robot7 · 51 citations
Representation (politics)2 · 44 citations
Political science2 · 44 citations
Machine learning2 · 44 citations
Engineering4 · 35 citations
Control engineering4 · 35 citations
Feature (linguistics)3 · 31 citations
Artificial neural network6 · 27 citations
Mobile robot6 · 27 citations
Control (management)5 · 25 citations

Key Achievements

5
H-Index
8
Papers
71
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Decoupling feature extraction from policy learning: assessing benefits\n of state representation learning in goal based robotics
24 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Laboratoire d’Informatique et Systèmes, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Laboratoire d'Intégration des Systèmes et des Technologies

Top Papers

  1. 1
    Decoupling feature extraction from policy learning: assessing benefits\n of state representation learning in goal based robotics
    24 citations · 2019
  2. 2
    S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
    20 citations · 2018
  3. 3
    Online gain setting method for path tracking using CMA-ES: Application to off-road mobile robot control
    8 citations · 2020
  4. 4
    Online velocity fluctuation of off-road wheeled mobile robots: A reinforcement learning approach
    6 citations · 2021
  5. 5
    A New Neural Network Feature Importance Method: Application to Mobile Robots Controllers Gain Tuning
    5 citations · 2020
  6. 6
    Neuroevolution with CMA-ES for Real-time Gain Tuning of a Car-like Robot Controller
    4 citations · 2019
  7. 7
    A Novel Gradient Feature Importance Method for Neural Networks: An Application to Controller Gain Tuning for Mobile Robots
    2 citations · 2022
  8. 8
    Online Tuning of Control Parameters for Off-Road Mobile Robots: Novel Deterministic and Neural Network-Based Approaches
    2 citations · 2022

Key Collaborators

ELEric Lucet6 shared papersRLRoland Lenain6 shared papersJLJean Laneurit3 shared papersNDNatalia Díaz-Rodríguez2 shared papersTLTimothée Lesort2 shared papersKRKalifou René Traoré2 shared papersARAntonin Raffin2 shared papersDFDavid Filliat2 shared papersFGFrancois Gauthier-Clerc1 shared papers
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