OPEn: An Open-ended Physics Environment for Learning Without a Task
Name
2110.06912.pdf
Description
Accepted version
Size
4.74 MB
Format
Adobe PDF
Checksum (MD5)
623d8ccbf4b14cda189da56fb7f28fe7
Author(s)
Gan, Chuang
Bhandwaldar, Abhishek
Torralba, Antonio
Tenenbaum, Joshua B
Isola, Phillip
Date Issued
2021
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
MIT 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
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/IROS51168.2021.9636830
