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Few-Shot Goal Inference for Visuomotor Learning and Planning

Few-Shot Goal Inference for Visuomotor Learning and Planning

30 September 2018
Annie Xie
Avi Singh
Sergey Levine
Chelsea Finn
    OffRL
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Papers citing "Few-Shot Goal Inference for Visuomotor Learning and Planning"

29 / 29 papers shown
Title
Affordance-Guided Reinforcement Learning via Visual Prompting
Affordance-Guided Reinforcement Learning via Visual Prompting
Olivia Y. Lee
Annie Xie
Kuan Fang
Karl Pertsch
Chelsea Finn
OffRL
LM&Ro
76
7
0
14 Jul 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
Xuzhe Dang
Stefan Edelkamp
37
4
0
06 Nov 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
26
31
0
02 Mar 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
124
0
19 Jan 2023
Training Robots to Evaluate Robots: Example-Based Interactive Reward
  Functions for Policy Learning
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Kun-Yen Huang
E. Hu
Dinesh Jayaraman
OffRL
38
5
0
17 Dec 2022
Few-Shot Preference Learning for Human-in-the-Loop RL
Few-Shot Preference Learning for Human-in-the-Loop RL
Joey Hejna
Dorsa Sadigh
OffRL
32
92
0
06 Dec 2022
T3VIP: Transformation-based 3D Video Prediction
T3VIP: Transformation-based 3D Video Prediction
Iman Nematollahi
Erick Rosete-Beas
Seyed Mahdi B. Azad
Raghunandan Rajan
Frank Hutter
Wolfram Burgard
VGen
65
1
0
19 Sep 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
37
140
0
15 Jun 2022
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
32
11
0
14 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving
  Long-Horizon Visuomotor Tasks
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
OffRL
LM&Ro
43
24
0
21 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
35
77
0
16 Sep 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Jingfeng Wu
Vladimir Braverman
Lin F. Yang
30
12
0
11 Aug 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from
  Human Feedback
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
Xiaofei Wang
Kimin Lee
Kourosh Hakhamaneshi
Pieter Abbeel
Michael Laskin
29
42
0
11 Aug 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
18
16
0
06 Aug 2021
Neural Task Success Classifiers for Robotic Manipulation from Few Real
  Demonstrations
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
A. Mohtasib
Amir Ghalamzan
Nicola Bellotto
Heriberto Cuay´ahuitl
13
1
0
01 Jul 2021
Replacing Rewards with Examples: Example-Based Policy Search via
  Recursive Classification
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Benjamin Eysenbach
Sergey Levine
Ruslan Salakhutdinov
OffRL
34
50
0
23 Mar 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
16
516
0
04 Feb 2021
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
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Z. Li
50
81
0
26 Jul 2020
Task-agnostic Exploration in Reinforcement Learning
Task-agnostic Exploration in Reinforcement Learning
Xuezhou Zhang
Yuzhe Ma
Adish Singla
OffRL
15
49
0
16 Jun 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
22
26
0
06 Apr 2020
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
22
35
0
12 Nov 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
36
356
0
06 Jul 2019
Learning Manipulation Skills Via Hierarchical Spatial Attention
Learning Manipulation Skills Via Hierarchical Spatial Attention
Marcus Gualtieri
Robert W. Platt
25
13
0
19 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
46
266
0
16 Apr 2019
Learning to Generalize from Sparse and Underspecified Rewards
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal
Chen Liang
Dale Schuurmans
Mohammad Norouzi
OffRL
54
97
0
19 Feb 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
35
377
0
03 Dec 2018
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
26
63
0
19 Nov 2018
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
389
11,700
0
09 Mar 2017
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