Adam Jelley

Adam Jelley

PhD Student in Deep Reinforcement Learning

University of Edinburgh

Hello!

I’m a PhD student in the Bayesian and Neural Systems group at the University of Edinburgh, supervised by Professor Amos Storkey in the School of Informatics and externally by Sam Devlin at Microsoft Research Cambridge.

My research is broadly focused on developing more sample efficient reinforcement learning approaches, via the use of self-supervised signals, offline data, world models and human feedback. I’m generally interested in improving the scientific understanding of deep reinforcement learning, bridging the gap between academia and industry, and the application of reinforcement learning to production software and real-world problems. I’m supported by a Microsoft Research Scholarship.

Interests
  • Reinforcement Learning
  • World Models
  • RL from Human Feedback
  • Self-Supervised Learning
  • Deep Learning Generalisation
  • AI for Science
Education
  • Currently PhD Candidate in Sample Efficient Deep Reinforcement Learning, 2025 (Expected)

    University of Edinburgh

  • MSci in Theoretical Physics, 2016

    University of Cambridge

  • MA in Natural Sciences - Physics, 2015

    University of Cambridge

Selected Publications

Experience

 
 
 
 
 
University of Edinburgh
PhD Candidate
May 2021 – Present Edinburgh
PhD Candidate in Machine Learning, with a focus on Deep Reinforcement Learning.
 
 
 
 
 
Microsoft Research Cambridge
Research Scientist Intern
Jun 2023 – Sep 2023 Cambridge
Developed a pipeline for aligning agents with preferences on the Xbox game Bleeding Edge, for research into capabilities and limitations of Reinforcement Learning from Human Feedback (RLHF) in this domain.
 
 
 
 
 
Dataiku
Lead Data Scientist
Jul 2020 – Apr 2021 London
Led the UK and Northern Europe region’s data science team of 6 data scientists to deliver data science projects and coaching.
 
 
 
 
 
Dataiku
Data Scientist
Apr 2019 – Jul 2020 London
Delivered client-facing and internal data science projects and coaching.
 
 
 
 
 
UCL
Research Student
Sep 2018 – Mar 2019 London
Initial research training at Centre for Doctoral Training in Data Intensive Science.
 
 
 
 
 
Applied Predictive Technologies (now aquired by Mastercard)
Business Consultant
Aug 2016 – Oct 2017 London
Analysed and modelled trials of new initiatives to predict their wider impact. Presented recommendations back to clients to inform decisions.
 
 
 
 
 
University of Cambridge
Undergraduate Student
Oct 2012 – Jun 2016 Cambridge
Part III Theoretical Physics MSci and Natural Sciences Tripos Undergraduate Student.

Other Achievements

Ironman
Ironman
Completed Ironman Portugal 2022

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