Advances in Neural Information Processing Systems, NIPS 2016


Article Details
Title: Efficient state-space modularization for planning: theory, behavioral and neural signatures
Article URLs:
Alternative Article URLs:
Authors: Daniel McNamee
  • University of Cambridge, Computational and Biological Learning Lab
  • University of Cambridge, Department of Engineering
Daniel M. Wolpert
  • University of Cambridge, Computational and Biological Learning Lab
  • University of Cambridge, Department of Engineering
Máté Lengyel
  • University of Cambridge, Computational and Biological Learning Lab
  • University of Cambridge, Department of Engineering
Sharing: Unknown
Verification: Authors have not verified information
Artifact Evaluation Badge: none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key: conf/nips/McNameeWL16
Author Comments:

Discuss this paper and its artifacts below