Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Picture for Jonathan D. Cohen

Jonathan D. Cohen

Department of Neuroscience, Princeton University

Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines


May 23, 2022
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Modularity benefits reinforcement learning agents with competing homeostatic drives


Apr 13, 2022
Zack Dulberg, Rachit Dubey, Isabel M. Berwian, Jonathan D. Cohen

Add code

* 4 pages, accepted paper at the Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning


Apr 04, 2022
Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Self-Supervised Framework for Function Learning and Extrapolation


Jun 14, 2021
Simon N. Segert, Jonathan D. Cohen

Add code

* 15 pages, 4 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Control of mental representations in human planning


May 14, 2021
Mark K. Ho, David Abel, Carlos G. Correa, Michael L. Littman, Jonathan D. Cohen, Thomas L. Griffiths

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Emergent Symbols through Binding in External Memory


Dec 29, 2020
Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Memory-Augmented Neural Network Model of Abstract Rule Learning


Dec 15, 2020
Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Meta-Learning of Compositional Task Distributions in Humans and Machines


Oct 05, 2020
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks


Jul 20, 2020
Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>