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Leveraging Language for Accelerated Learning of Tool Manipulation

Leveraging Language for Accelerated Learning of Tool Manipulation

27 June 2022
Allen Z. Ren
Bharat Govil
Tsung-Yen Yang
Karthik Narasimhan
Anirudha Majumdar
    LM&Ro
ArXiv (abs)PDFHTML

Papers citing "Leveraging Language for Accelerated Learning of Tool Manipulation"

27 / 27 papers shown
Title
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Kun Zhang
Peng Yun
Jun Cen
Junhao Cai
DiDi Zhu
...
Qifeng Chen
Jia Pan
Wei Zhang
Bo Yang
Hua Chen
175
1
0
05 Mar 2025
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
195
1,988
0
04 Apr 2022
Grounding Language to Entities and Dynamics for Generalization in
  Reinforcement Learning
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
H. Wang
Victor Zhong
Karthik Narasimhan
145
55
0
19 Jan 2021
Connecting Context-specific Adaptation in Humans to Meta-learning
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik Narasimhan
Thomas Griffiths
90
4
0
27 Nov 2020
Learning Adaptive Language Interfaces through Decomposition
Learning Adaptive Language Interfaces through Decomposition
Siddharth Karamcheti
Dorsa Sadigh
Percy Liang
56
31
0
11 Oct 2020
Safe Reinforcement Learning with Natural Language Constraints
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang
Michael Y. Hu
Yinlam Chow
Peter J. Ramadge
Karthik Narasimhan
64
32
0
11 Oct 2020
Learning Rewards from Linguistic Feedback
Learning Rewards from Linguistic Feedback
T. Sumers
Mark K. Ho
Robert D. Hawkins
Karthik Narasimhan
Thomas Griffiths
132
54
0
30 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
904
42,463
0
28 May 2020
Robust and Interpretable Grounding of Spatial References with Relation
  Networks
Robust and Interpretable Grounding of Spatial References with Relation Networks
Tsung-Yen Yang
Andrew S. Lan
Karthik Narasimham
91
12
0
02 May 2020
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
93
218
0
30 Oct 2019
RTFM: Generalising to Novel Environment Dynamics via Reading
RTFM: Generalising to Novel Environment Dynamics via Reading
Victor Zhong
Tim Rocktaschel
Edward Grefenstette
LLMAGOffRLAI4CE
89
54
0
18 Oct 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
119
858
0
10 Sep 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for
  Few-Shot Learning
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon
Jun Seo
Jaekyun Moon
69
275
0
16 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy
Meta Reinforcement Learning with Task Embedding and Shared Policy
Lin Lan
Zhenguo Li
X. Guan
Peijie Wang
OffRL
121
50
0
16 May 2019
Improvisation through Physical Understanding: Using Novel Objects as
  Tools with Visual Foresight
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
Annie Xie
F. Ebert
Sergey Levine
Chelsea Finn
LM&Ro
60
80
0
11 Apr 2019
Using Natural Language for Reward Shaping in Reinforcement Learning
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal
S. Niekum
Raymond J. Mooney
LM&Ro
102
183
0
05 Mar 2019
Guiding Policies with Language via Meta-Learning
Guiding Policies with Language via Meta-Learning
John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
Pieter Abbeel
Sergey Levine
LM&Ro
79
64
0
19 Nov 2018
Learning Task-Oriented Grasping for Tool Manipulation from Simulated
  Self-Supervision
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Kuan Fang
Yuke Zhu
Animesh Garg
Andrey Kurenkov
Viraj Mehta
Li Fei-Fei
Silvio Savarese
72
217
0
25 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
282
673
0
07 Jun 2018
Learning to Understand Goal Specifications by Modelling Reward
Learning to Understand Goal Specifications by Modelling Reward
Dzmitry Bahdanau
Felix Hill
Jan Leike
Edward Hughes
Seyedarian Hosseini
Pushmeet Kohli
Edward Grefenstette
149
159
0
05 Jun 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
244
2,239
0
08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
76
1,285
0
02 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,432
0
04 Jan 2018
Vision-and-Language Navigation: Interpreting visually-grounded
  navigation instructions in real environments
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson
Qi Wu
Damien Teney
Jake Bruce
Mark Johnson
Niko Sünderhauf
Ian Reid
Stephen Gould
Anton Van Den Hengel
LM&Ro
126
1,324
0
20 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
833
11,961
0
09 Mar 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
435
10,541
0
21 Jul 2016
Learning to Win by Reading Manuals in a Monte-Carlo Framework
Learning to Win by Reading Manuals in a Monte-Carlo Framework
S. Branavan
David Silver
Regina Barzilay
111
191
0
18 Jan 2014
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