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Competition: Competition Track Day 3: Overviews + Breakout Sessions

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


Abstract:

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.