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Word2vec to behavior: morphology facilitates the grounding of language
  in machines

Word2vec to behavior: morphology facilitates the grounding of language in machines

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
3 August 2019
David Matthews
Sam Kriegman
C. Cappelle
Josh Bongard
    LM&Ro
ArXiv (abs)PDFHTML

Papers citing "Word2vec to behavior: morphology facilitates the grounding of language in machines"

5 / 5 papers shown
ZapGPT: Free-form Language Prompting for Simulated Cellular Control
ZapGPT: Free-form Language Prompting for Simulated Cellular Control
Nam H. Le
Patrick Erickson
Yanbo Zhang
Michael Levin
Josh Bongard
LM&Ro
149
0
0
12 Sep 2025
Learning Bidirectional Translation between Descriptions and Actions with
  Small Paired Data
Learning Bidirectional Translation between Descriptions and Actions with Small Paired DataIEEE Robotics and Automation Letters (RA-L), 2022
M. Toyoda
Kanata Suzuki
Yoshihiko Hayashi
Tetsuya Ogata
184
5
0
08 Mar 2022
Embodying Pre-Trained Word Embeddings Through Robot Actions
Embodying Pre-Trained Word Embeddings Through Robot ActionsIEEE Robotics and Automation Letters (RA-L), 2021
M. Toyoda
Kanata Suzuki
Hiroki Mori
Yoshihiko Hayashi
T. Ogata
LM&Ro
188
13
0
17 Apr 2021
Ask Your Humans: Using Human Instructions to Improve Generalization in
  Reinforcement Learning
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020
Valerie Chen
Abhinav Gupta
Kenneth Marino
OffRL
406
45
0
01 Nov 2020
Alleviating the Burden of Labeling: Sentence Generation by Attention
  Branch Encoder-Decoder Network
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder NetworkIEEE Robotics and Automation Letters (RA-L), 2020
Tadashi Ogura
A. Magassouba
K. Sugiura
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
Hisashi Kawai
142
12
0
09 Jul 2020
1
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