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Ashley W.D. Hill

PhD Student in Artificial Intelligence applied to Mobile Robots

Université Clermont Auvergne

Biography

I’m Ashley Hill, a brit who has spent his life in france. Currently a PhD student in Artificial Intelligence applied to Mobile Robots. You can usually find me playing around with Machine Learning, Robotics, Electronics, Astronomy, and Programming.

Interests

  • Artificial Intelligence
  • Machine Learning
  • Reinforcement Learning
  • Evolutionary Algorithms
  • Robotic Control
  • Unsupervised Feature Extraction

Education

  • MSci in Machine Learning, Information and Content, 2018

    Université Paris-Scalay

  • Magistaire in Computer Science, 2018

    Université Paris-Sud

  • BSc in Computer Science, 2016

    Université Paris-Sud

Projects

Stable Baselines

Reinforcement learning library: a fork of OpenAI Baselines

S-RL Toolbox

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Recent & Upcoming Talks

CES-IA Reinforcement Learning Class

The CES-IA Reinforcement learning class slides.

RL Tutorial on Stable Baselines

Beginner tutorial on Stable Baselines library with colab notebooks

ICINCO presentation

The presentation of the 2019 ICINCO paper

Recent Publications

Neuroevolution with CMA-ES for real-time gain tuning of a car-like robot controller

This paper proposes a method for dynamically varying the gains of a mobile robot controller that takes into account, not only errors to …

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics

Scaling end-to-end reinforcement learning to control real robots from vision presents a series of challenges, in particular in terms of …

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

State representation learning aims at learning compact representations from raw observations in robotics and control applications. …

Experience

 
 
 
 
 

Researcher

Nov 2019 – Present Palaiseau
Artificial Intelligence applied to Mobile Robots.
 
 
 
 
 

Research Intern

ENSTA ParisTech - U2IS robotics lab

Mar 2018 – Sep 2018 Palaiseau
State representation learning for robotics.
 
 
 
 
 

Research Intern

Laboratory for Computer Science

May 2017 – Jul 2017 Saclay
Experimental evaluation of performance criteria in machine learning.

Skills

python

100%

C/C++

90%

Ocaml

90%

ROS

70%

Unix

90%

Machine Learning

85%

Reinforcement Learning

95%

French & English

Bilingual

Contact