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Plan, Eliminate, and Track -- Language Models are Good Teachers for
  Embodied Agents

Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents

3 May 2023
Yu-Chih Chen
So Yeon Min
Chase Davis
Ruslan Salakhutdinov
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
A. Bovik
    LM&Ro
    LLMAG
ArXivPDFHTML

Papers citing "Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents"

6 / 6 papers shown
Title
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability
Zishen Wan
Jiayi Qian
Yuhang Du
Jason J. Jabbour
Yilun Du
Yang Katie Zhao
A. Raychowdhury
Tushar Krishna
Vijay Janapa Reddi
LM&Ro
86
0
0
26 Apr 2025
Building Cooperative Embodied Agents Modularly with Large Language Models
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang
Weihua Du
Jiaming Shan
Qinhong Zhou
Yilun Du
J. Tenenbaum
Tianmin Shu
Chuang Gan
LLMAG
LM&Ro
39
152
0
05 Jul 2023
FILM: Following Instructions in Language with Modular Methods
FILM: Following Instructions in Language with Modular Methods
So Yeon Min
Devendra Singh Chaplot
Pradeep Ravikumar
Yonatan Bisk
Ruslan Salakhutdinov
LM&Ro
190
159
0
12 Oct 2021
Skill Induction and Planning with Latent Language
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
178
108
0
04 Oct 2021
A Persistent Spatial Semantic Representation for High-level Natural
  Language Instruction Execution
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis
Chris Paxton
D. Fox
Animesh Garg
Yoav Artzi
LM&Ro
204
133
0
12 Jul 2021
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis
Joseph Campbell
Mariano Phielipp
Stefan Lee
Chitta Baral
H. B. Amor
LM&Ro
106
192
0
22 Oct 2020
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