OPEn: An Open-ended Physics Environment for Learning Without a Task

Author(s)
Gan, Chuang; Bhandwaldar, Abhishek; Torralba, Antonio; Tenenbaum, Joshua B; Isola, Phillip
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Date issued
2021
URI
https://hdl.handle.net/1721.1/143604
Department
MIT-IBM Watson AI Lab; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Center for Brains, Minds, and Machines
Journal
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Gan, Chuang, Bhandwaldar, Abhishek, Torralba, Antonio, Tenenbaum, Joshua B and Isola, Phillip. 2021. "OPEn: An Open-ended Physics Environment for Learning Without a Task." 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Version: Author's final manuscript
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