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The NetHack Challenge + Q&A
Eric Hambro · Sharada Mohanty · Dipam Chakrabroty · Edward Grefenstette · Minqi Jiang · Robert Kirk · Vitaly Kurin · Heinrich Kuttler · Vegard Mella · Nantas Nardelli · Jack Parker-Holder · Roberta Raileanu · Tim Rocktäschel · Danielle Rothermel · Mikayel Samvelyan

Thu Dec 09 10:25 AM -- 10:45 AM (PST) @
in Competition Track Day 3: Overviews + Breakout Sessions »
Event URL: https://nethackchallenge.com »

The NetHack Challenge is based on the NetHack Learning Environment (NLE), where teams will compete to build the best agents to play the game of NetHack. NetHack is a ASCII-rendered single-player dungeon crawl game that is one of the oldest and most difficult computer games in history. NetHack is procedurally-generated, with hundreds of different entities and complex environment dynamics, presenting an extremely challenging environment for both current state-of-the-art RL agents and humans, while crucially being lightning-fast to simulate. We are excited that this competition offers machine learning students, researchers and NetHack-bot builders the opportunity to participate in a grand challenge in AI without prohibitive computational costs—and we are eagerly looking forward to the wide variety of submissions.

Author Information

Eric Hambro (Facebook AI Research)
Sharada Mohanty (AIcrowd SA)
Dipam Chakrabroty (AIcrowd)
Edward Grefenstette (Facebook AI Research & University College London)
Minqi Jiang (UCL & FAIR)
Robert Kirk (University College London)

I’m Robert Kirk, a PhD Student at UCL DARK Lab in the UCL Centre for Artificial Intelligence supervised by Tim Rocktäschel and Ed Grefenstette. I’m an aspiring effective altruist and rationalist. I’m interested in reinforcement learning, meta learning, natural language processing, interpretability and deep learning (and all the combinations thereof).

Vitaly Kurin (University of Oxford)
Heinrich Kuttler (FAIR)
Vegard Mella (Facebook)
Nantas Nardelli (Carbon Re / University of Oxford)
Jack Parker-Holder (University of Oxford)
Roberta Raileanu (FAIR)
Tim Rocktäschel (University College London, Facebook AI Research)

Tim is a Researcher at Facebook AI Research (FAIR) London, an Associate Professor at the Centre for Artificial Intelligence in the Department of Computer Science at University College London (UCL), and a Scholar of the European Laboratory for Learning and Intelligent Systems (ELLIS). Prior to that, he was a Postdoctoral Researcher in Reinforcement Learning at the University of Oxford, a Junior Research Fellow in Computer Science at Jesus College, and a Stipendiary Lecturer in Computer Science at Hertford College. Tim obtained his Ph.D. from UCL under the supervision of Sebastian Riedel, and he was awarded a Microsoft Research Ph.D. Scholarship in 2013 and a Google Ph.D. Fellowship in 2017. His work focuses on reinforcement learning in open-ended environments that require intrinsically motivated agents capable of transferring commonsense, world and domain knowledge in order to systematically generalize to novel situations.

Danielle Rothermel (Facebook)
Mikayel Samvelyan (University College London)

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