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George Watkins

Current Research

I am a PhD student in the Mathematics for Real-World Systems CDT at the University of Warwick. My research interests are in 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, with a focus on 𝗗𝗲𝗲𝗽 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴.

Specifically I am currently working on 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗟, researching new methods for learning in environments in which the 𝘀𝘁𝗮𝘁𝗲𝘀 𝗮𝗿𝗲 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗱 𝗮𝘀 𝗴𝗿𝗮𝗽𝗵𝘀.

My research has 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀: using graph representations as an inductive bias can support faster and more accurate learning in the real world, where spatial relationships between objects are fundamental to task completion.

Education

  • 2019-present: PhD in Reinforcement Learning, exploring memory in partially observable environments
  • 2018-2019: MSc in Mathematics for Real-World Systems, University of Warwick (Distinction)
  • 2011-2012: PGCE, Institute of Education
  • 2004-2008: MSci in Mathematics, Imperial College (First Class Honours)

Teaching

  • 2019-2020: Interdisciplinary Approaches to Machine Learning, CIM
  • 2018-2020: Quantitative Analysis for Management, WBS
  • 2014-2016: Head of Year, King's College London Mathematics School (years 12-13)
  • 2011-2014: Teacher of Mathematics, St. Marylebone School (years 7-13)

George Watkins