Edward Grefenstette

Research Scientist

I am a Research Scientist at Facebook AI Research (FAIR), which I joined at the end of 2018, and an Honorary Associate Professor (Reader) at UCL. Previously, I was a Staff Research Scientist at DeepMind. I completed my DPhil (PhD) at the University of Oxford in 2013 under the supervision of Profs Coecke and Pulman, and Dr Sadrzadeh, working on applying category-theoretic tool, initially developed to model quantum information flow, to model compositionality of distributed representations in natural language semantics. My recent research has covered topics at the intersection of deep learning and machine reasoning.


Machine reasoning, deep learning, natural language understanding

Latest Publications

ICLR - March 26, 2021

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette

ICPR - January 15, 2021

Meta Learning via Learned Loss

Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier

ICML - August 13, 2020

Learning Reasoning Strategies in End-to-End Differentiable Proving

Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel

NeurIPS - June 24, 2020

The NetHack Learning Environment

Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel

ICLR - February 14, 2020

RTFM: Generalizing to Novel Environment via Reading

Victor Zhong, Tim Rocktäschel, Edward Grefenstette

arXiv - March 14, 2018

Learning to Compute Word Embeddings On the Fly

Dzmitry Bahdanau, Tom Bosc, Stanislaw Jastrzebski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio