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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Information theoretic analysis of computational models as a tool to understand the neural basis of behaviors


Jun 02, 2021
Madhavun Candadai


   Access Paper or Ask Questions

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

On Training Flexible Robots using Deep Reinforcement Learning


Jul 13, 2019
Zach Dwiel, Madhavun Candadai, Mariano Phielipp

* Accepted at the Intelligent Robots and Systems (IRoS) conference, 2019. Camera-ready version coming soon 

   Access Paper or Ask Questions

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

Hierarchical Policy Learning is Sensitive to Goal Space Design


May 04, 2019
Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp, Arjun K. Bansal

* Accepted to be presented at Task-Agnostic Reinforcement Learning (TARL) workshop at ICLR'19 

   Access Paper or Ask Questions

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

Multifunctionality in embodied agents: Three levels of neural reuse


May 16, 2018
Madhavun Candadai, Eduardo Izquierdo

* Accepted at Cognitive Science Conference, 2018 

   Access Paper or Ask Questions

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