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One-Shot Visual Imitation Learning via Meta-Learning

One-Shot Visual Imitation Learning via Meta-Learning

14 September 2017
Chelsea Finn
Tianhe Yu
Tianhao Zhang
Pieter Abbeel
Sergey Levine
    SSL
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Papers citing "One-Shot Visual Imitation Learning via Meta-Learning"

50 / 138 papers shown
Title
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Eric Jang
A. Irpan
Mohi Khansari
Daniel Kappler
F. Ebert
Corey Lynch
Sergey Levine
Chelsea Finn
LM&Ro
72
520
0
04 Feb 2022
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from
  Video
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video
Priyanka Mandikal
Kristen Grauman
143
93
0
01 Feb 2022
You Only Demonstrate Once: Category-Level Manipulation from Single
  Visual Demonstration
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
Bowen Wen
Wenzhao Lian
Kostas Bekris
S. Schaal
29
90
0
30 Jan 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
30
8
0
28 Jan 2022
Budget-aware Few-shot Learning via Graph Convolutional Network
Budget-aware Few-shot Learning via Graph Convolutional Network
Shipeng Yan
Songyang Zhang
Xuming He
11
6
0
07 Jan 2022
Conditional Imitation Learning for Multi-Agent Games
Conditional Imitation Learning for Multi-Agent Games
Andy Shih
Stefano Ermon
Dorsa Sadigh
43
11
0
05 Jan 2022
Transformers Can Do Bayesian Inference
Transformers Can Do Bayesian Inference
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Frank Hutter
BDL
UQCV
29
145
0
20 Dec 2021
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Iman Nematollahi
Erick Rosete-Beas
Adrian Rofer
Tim Welschehold
Abhinav Valada
Wolfram Burgard
19
15
0
25 Nov 2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit
  Drawing
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing
X. Tan
Zhikang Liu
Chenxiao Yu
A. Rosendo
22
0
0
15 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Norman Di Palo
Edward Johns
SSL
32
23
0
14 Nov 2021
Learning Eye-in-Hand Camera Calibration from a Single Image
Learning Eye-in-Hand Camera Calibration from a Single Image
Eugene Valassakis
Kamil Dreczkowski
Edward Johns
27
17
0
01 Nov 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
36
11
0
14 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion
Offline Meta-Reinforcement Learning for Industrial Insertion
Tony Zhao
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
N. Heess
Jonathan Scholz
S. Schaal
Sergey Levine
OffRL
OnRL
27
80
0
08 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for
  Strategic Diversity
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
M. Garnelo
Wojciech M. Czarnecki
Siqi Liu
Dhruva Tirumala
Junhyuk Oh
Gauthier Gidel
H. V. Hasselt
David Balduzzi
34
25
0
08 Oct 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain
  Datasets
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
F. Ebert
Yanlai Yang
Karl Schmeckpeper
Bernadette Bucher
G. Georgakis
Kostas Daniilidis
Chelsea Finn
Sergey Levine
169
223
0
27 Sep 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive
  Imitation Learning
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Ryan Hoque
Ashwin Balakrishna
Ellen R. Novoseller
Albert Wilcox
Daniel S. Brown
Ken Goldberg
40
84
0
17 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks
Multi-Task Learning with Sequence-Conditioned Transporter Networks
M. H. Lim
Andy Zeng
Brian Ichter
Maryam Bandari
Erwin Coumans
Claire Tomlin
S. Schaal
Aleksandra Faust
39
14
0
15 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and
  Crowd-Sourced Annotation
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&Ro
OffRL
41
154
0
02 Sep 2021
Learning from an Exploring Demonstrator: Optimal Reward Estimation for
  Bandits
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
Wenshuo Guo
Kumar Krishna Agrawal
Aditya Grover
Vidya Muthukumar
A. Pananjady
18
8
0
28 Jun 2021
TANGO: Commonsense Generalization in Predicting Tool Interactions for
  Mobile Manipulators
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
Shreshth Tuli
Rajas Bansal
Rohan Paul
M. -
LM&Ro
21
13
0
05 May 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
272
0
16 Apr 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
39
41
0
05 Mar 2021
AGENT: A Benchmark for Core Psychological Reasoning
AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu
Abhishek Bhandwaldar
Chuang Gan
Kevin A. Smith
Shari Liu
Dan Gutfreund
E. Spelke
J. Tenenbaum
T. Ullman
34
66
0
24 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A
  Focussed Mini-Review
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
53
143
0
08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
18
520
0
04 Feb 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot
  Dynamics and Environments
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
Timothée Anne
Jack Wilkinson
Zhibin Li
31
1
0
19 Jan 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine
  Learning
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
30
16
0
23 Dec 2020
Personalized Adaptive Meta Learning for Cold-start User Preference
  Prediction
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
Runsheng Yu
Yu Gong
Xu He
Bo An
Yu Zhu
Qingwen Liu
Wenwu Ou
28
57
0
22 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale
  multi-agent human-robot collaborative learning
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning
Georgios Th. Papadopoulos
M. Antona
C. Stephanidis
AI4CE
25
24
0
15 Dec 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
32
36
0
26 Oct 2020
Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization
  under Model Uncertainty
Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty
R. Russel
M. Benosman
J. Baar
32
20
0
10 Oct 2020
Learning Skills to Patch Plans Based on Inaccurate Models
Learning Skills to Patch Plans Based on Inaccurate Models
A. LaGrassa
Steven Lee
Oliver Kroemer
19
10
0
29 Sep 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
38
104
0
13 Aug 2020
Meta-Learning Requires Meta-Augmentation
Meta-Learning Requires Meta-Augmentation
Janarthanan Rajendran
A. Irpan
Eric Jang
29
93
0
10 Jul 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial
  Parameters
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji
Jason D. Lee
Yingbin Liang
H. Vincent Poor
26
74
0
16 Jun 2020
Self-supervised Learning for Precise Pick-and-place without Object Model
Self-supervised Learning for Precise Pick-and-place without Object Model
Lars Berscheid
Pascal Meissner
Torsten Kröger
SSL
DRL
24
67
0
15 Jun 2020
ToolNet: Using Commonsense Generalization for Predicting Tool Use for
  Robot Plan Synthesis
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis
Rajas Bansal
Shreshth Tuli
Rohan Paul
Mausam
LM&Ro
20
6
0
09 Jun 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
33
43
0
21 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
26
35
0
17 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
35
20
0
29 Mar 2020
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence
  for One-shot Medical Image Segmentation
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
Shuxin Wang
Shilei Cao
Dong Wei
Renzhen Wang
Kai Ma
Liansheng Wang
Deyu Meng
Yefeng Zheng
22
54
0
16 Mar 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of
  Long-Horizon Robotic Manipulation Tasks
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Bohan Wu
Feng Xu
Zhanpeng He
Abhi Gupta
Peter K. Allen
OffRL
23
13
0
10 Mar 2020
Vision-based Robot Manipulation Learning via Human Demonstrations
Vision-based Robot Manipulation Learning via Human Demonstrations
Zhixin Jia
Mengxiang Lin
Zhixin Chen
Shibo Jian
SSL
14
7
0
01 Mar 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh
Eric Jang
A. Irpan
Daniel Kappler
Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
53
35
0
25 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level
  Optimization
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora
S. Du
Sham Kakade
Yuping Luo
Nikunj Saunshi
23
60
0
24 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Kaiyi Ji
Junjie Yang
Yingbin Liang
28
49
0
18 Feb 2020
Federated Imitation Learning: A Novel Framework for Cloud Robotic
  Systems with Heterogeneous Sensor Data
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Boyi Liu
Lujia Wang
Ming Liu
Cheng-Zhong Xu
FedML
25
67
0
24 Dec 2019
How Should an Agent Practice?
How Should an Agent Practice?
Janarthanan Rajendran
Richard L. Lewis
Vivek Veeriah
Honglak Lee
Satinder Singh
26
9
0
15 Dec 2019
Task-Relevant Adversarial Imitation Learning
Task-Relevant Adversarial Imitation Learning
Konrad Zolna
Scott E. Reed
Alexander Novikov
Sergio Gomez Colmenarejo
David Budden
Serkan Cabi
Misha Denil
Nando de Freitas
Ziyun Wang
GAN
28
61
0
02 Oct 2019
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in
  Homes
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes
M. Bajracharya
James Borders
D. Helmick
Thomas Kollar
Michael Laskey
...
A. Ochiai
Josh Petersen
K. Shankar
Kevin Stone
Yutaka Takaoka
25
30
0
30 Sep 2019
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