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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory


Feb 13, 2018
Jun Kitazono, Ryota Kanai, Masafumi Oizumi

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

Curiosity-driven reinforcement learning with homeostatic regulation


Feb 07, 2018
Ildefons Magrans de Abril, Ryota Kanai

Add code

* Presented at the NIPS 2017 Workshop: Cognitively Informed Artificial Intelligence: Insights From Natural Intelligence 

   Access Paper or Ask Questions

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

Learning body-affordances to simplify action spaces


Aug 15, 2017
Nicholas Guttenberg, Martin Biehl, Ryota Kanai

Add code

* 4 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

Counterfactual Control for Free from Generative Models


Mar 09, 2017
Nicholas Guttenberg, Yen Yu, Ryota Kanai

Add code

* 6 pages, 5 figures 

   Access Paper or Ask Questions

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

A description length approach to determining the number of k-means clusters


Feb 28, 2017
Hiromitsu Mizutani, Ryota Kanai

Add code

* 27 pages, 6 figures 

   Access Paper or Ask Questions

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

Permutation-equivariant neural networks applied to dynamics prediction


Dec 14, 2016
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski, Hidetoshi Aoki, Ryota Kanai

Add code

* 7 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

Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks


Sep 01, 2016
Nicholas Guttenberg, Martin Biehl, Ryota Kanai

Add code

* 9 pages, 5 figures, 3 tables 

   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