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Morphology dictates a robot's ability to ground crowd-proposed language
v1v2 (latest)

Morphology dictates a robot's ability to ground crowd-proposed language

16 December 2017
Zahra Mahoor
Jack Felag
Josh Bongard
    LM&Ro
ArXiv (abs)PDFHTML

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)
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
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