Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1712.05881
Cited By
v1
v2 (latest)
Morphology dictates a robot's ability to ground crowd-proposed language
16 December 2017
Zahra Mahoor
Jack Felag
Josh Bongard
LM&Ro
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Morphology dictates a robot's ability to ground crowd-proposed language"
2 / 2 papers shown
Title
Model Learning with Personalized Interpretability Estimation (ML-PIE)
M. Virgolin
A. D. Lorenzo
Francesca Randone
Eric Medvet
M. Wahde
101
31
0
13 Apr 2021
Word2vec to behavior: morphology facilitates the grounding of language in machines
David Matthews
Sam Kriegman
C. Cappelle
Josh Bongard
LM&Ro
50
6
0
03 Aug 2019
1