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I (he/him) work at Carbon Re, where I lead the machine learning team. We are working on significantly reducing CO2 emissions of heavy industries like cement. You should seriously consider joining us.
Previously I obtained a PhD (DPhil) in machine learning from the University of Oxford under the supervision of Phil Torr and Pushmeet Kohli. There I was a member of St. Catherine's College and the Torr Vision Group. Before then, I did my undergraduate degree at Edinburgh, where I largely spent my time working in the Robust Autonomy and Decisions group under the supervision of Subramanian Ramamoorthy. During my studies I spent a significant amount of time working at Microsoft Research Cambridge, at Facebook AI Research (FAIR), and at DeepMind. I also helped FiveAI and Robotical during their early days.
Recent publications
Legend: highlighted, preprint [p], workshop [w], conference [c], journal [j], joint-first authorship *.
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The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
Advances in Neural Information Processing Systems (NeurIPS), 2020
[BibTeX] [blog] [code]
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Lessons from Reinforcement Learning for Biological Representations of Space
Alex Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr
Vision Research, 2020
[BibTeX] -
Multitask Soft Option Learning
Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
[BibTeX] -
WordCraft: An Environment for Benchmarking Commonsense Agent
Minqi Jiang*, Jelena Luketina*, Nantas Nardelli*, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
Language in Reinforcement Learning, ICML, 2020
[BibTeX] [code]