A domain-agnostic approach for characterization of lifelong learning systems

Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris 0001, Dhireesha Kudithipudi, Erik G. Learned-Miller, SeungWon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha. A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks, 160:274-296, March 2023. [doi]

@article{BakerNAAABBBBDDDDEFGHIKKKKKLLLMMNPPR23,
  title = {A domain-agnostic approach for characterization of lifelong learning systems},
  author = {Megan M. Baker and Alexander New and Mario Aguilar-Simon and Ziad Al-Halah and Sébastien M. R. Arnold and Eseoghene Ben-Iwhiwhu and Andrew P. Brna and Ethan Brooks and Ryan C. Brown and Zachary Daniels and Anurag Reddy Daram and Fabien Delattre and Ryan Dellana and Eric Eaton and Haotian Fu and Kristen Grauman and Jesse Hostetler and Shariq Iqbal and Cassandra Kent and Nicholas Ketz and Soheil Kolouri and George Konidaris 0001 and Dhireesha Kudithipudi and Erik G. Learned-Miller and SeungWon Lee and Michael L. Littman and Sandeep Madireddy and Jorge A. Mendez and Eric Q. Nguyen and Christine D. Piatko and Praveen K. Pilly and Aswin Raghavan and Abrar Rahman and Santhosh Kumar Ramakrishnan and Neale Ratzlaff and Andrea Soltoggio and Peter Stone and Indranil Sur and Zhipeng Tang and Saket Tiwari and Kyle Vedder and Felix Wang and Zifan Xu and Angel Yanguas-Gil and Harel Yedidsion and Shangqun Yu and Gautam K. Vallabha},
  year = {2023},
  month = {March},
  doi = {10.1016/j.neunet.2023.01.007},
  url = {https://doi.org/10.1016/j.neunet.2023.01.007},
  researchr = {https://researchr.org/publication/BakerNAAABBBBDDDDEFGHIKKKKKLLLMMNPPR23},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {160},
  pages = {274-296},
}