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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark


Mar 29, 2021
Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Gražvydas Šemetulskis, João Schapke, Jonas Kubilius, Jurgis Pašukonis, Linas Klimas, Matthew Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe


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ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation


Jul 09, 2020
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, James J. DiCarlo, Josh McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins

* Project page: http://www.threedworld.org 

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Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs


Oct 28, 2019
Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo

* NeurIPS 2019 (Oral). Code available at https://github.com/dicarlolab/neurips2019 

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Task-Driven Convolutional Recurrent Models of the Visual System


Oct 27, 2018
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins

* NIPS 2018 Camera Ready Version, 16 pages including supplementary information, 6 figures 

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Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System


Jun 23, 2017
Chengxu Zhuang, Jonas Kubilius, Mitra Hartmann, Daniel Yamins

* 17 pages including supplementary information, 8 figures 

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