Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew MelnikShu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen Novoseller, Vinicius G. Goecks, Nicholas Waytowich, David Watkins, Josh Miller, Rohin Shah

Department of Computer Science
UKRI CDT in Accountable, Responsible and Transparent AI
Artificial Intelligence and Machine Learning

Carnegie Mellon University
Microsoft Research Cambridge
University of Maryland
OpenAI
AI Crowd
NetEase Fuxi AI Lab.
University of Eastern Finland
Bielefeld University
Indian Institute of Technology Kanpur
University of Oxford
FZI Research Center for Information Technology
Karlsruher Institut für Technologie
DEVCOM Army Research Laboratory
Columbia University
DeepMind Technologies Limited

Research output: Contribution to journal › Conference article › peer-review

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Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition

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Neuroscience