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Unsupervised Perceptual Rewards for Imitation Learning

Unsupervised Perceptual Rewards for Imitation Learning

20 December 2016
P. Sermanet
Kelvin Xu
Sergey Levine
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Perceptual Rewards for Imitation Learning"

44 / 44 papers shown
Title
Solving New Tasks by Adapting Internet Video Knowledge
Solving New Tasks by Adapting Internet Video Knowledge
Calvin Luo
Zilai Zeng
Yilun Du
Chen Sun
38
1
0
21 Apr 2025
Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models
Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models
Chen Wang
Fei Xia
Wenhao Yu
Tingnan Zhang
Ruohan Zhang
Ce Liu
Li Fei-Fei
Jie Tan
Jacky Liang
41
1
0
17 Apr 2025
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
Ondrej Biza
Thomas Weng
Lingfeng Sun
Karl Schmeckpeper
Tarik Kelestemur
Yecheng Jason Ma
Robert Platt
Jan-Willem van de Meent
Lawson L. S. Wong
OffRL
52
0
0
25 Oct 2024
MotIF: Motion Instruction Fine-tuning
MotIF: Motion Instruction Fine-tuning
Minyoung Hwang
Joey Hejna
Dorsa Sadigh
Yonatan Bisk
62
1
0
16 Sep 2024
VIEW: Visual Imitation Learning with Waypoints
VIEW: Visual Imitation Learning with Waypoints
Ananth Jonnavittula
Sagar Parekh
Dylan P. Losey
SSL
91
10
0
27 Apr 2024
Transductive Reward Inference on Graph
Transductive Reward Inference on Graph
B. Qu
Xiaofeng Cao
Qing Guo
Yi Chang
Ivor W. Tsang
Chengqi Zhang
OffRL
40
0
0
06 Feb 2024
Language Reward Modulation for Pretraining Reinforcement Learning
Language Reward Modulation for Pretraining Reinforcement Learning
Ademi Adeniji
Amber Xie
Carmelo Sferrazza
Younggyo Seo
Stephen James
Pieter Abbeel
39
26
0
23 Aug 2023
Structured World Models from Human Videos
Structured World Models from Human Videos
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
54
87
0
21 Aug 2023
On Pre-Training for Visuo-Motor Control: Revisiting a
  Learning-from-Scratch Baseline
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen
Zhecheng Yuan
Yanjie Ze
Tongzhou Mu
Aravind Rajeswaran
H. Su
Huazhe Xu
Xiaolong Wang
37
65
0
12 Dec 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task
  Generalization
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
Stone Tao
Xiaochen Li
Tongzhou Mu
Zhiao Huang
Yuzhe Qin
Hao Su
27
3
0
14 Oct 2022
Learning Object Manipulation Skills from Video via Approximate
  Differentiable Physics
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics
Vladimir Petrik
M. N. Qureshi
Josef Sivic
Makarand Tapaswi
41
9
0
03 Aug 2022
Human-to-Robot Imitation in the Wild
Human-to-Robot Imitation in the Wild
Shikhar Bahl
Abhi Gupta
Deepak Pathak
30
165
0
19 Jul 2022
Human Hands as Probes for Interactive Object Understanding
Human Hands as Probes for Interactive Object Understanding
Mohit Goyal
Sahil Modi
Rishabh Goyal
Saurabh Gupta
29
48
0
16 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual
  Imitation
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari
Nur Muhammad (Mahi) Shafiullah
Sridhar Pandian Arunachalam
Lerrel Pinto
SSL
27
161
0
02 Dec 2021
Visual Goal-Directed Meta-Learning with Contextual Planning Networks
Visual Goal-Directed Meta-Learning with Contextual Planning Networks
Corban G. Rivera
D. Handelman
41
0
0
18 Nov 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
23
16
0
06 Aug 2021
Playful Interactions for Representation Learning
Playful Interactions for Representation Learning
Sarah Young
Jyothish Pari
Pieter Abbeel
Lerrel Pinto
SSL
49
14
0
19 Jul 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
XIRL: Cross-embodiment Inverse Reinforcement Learning
XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka
Andy Zeng
Peter R. Florence
Jonathan Tompson
Jeannette Bohg
Debidatta Dwibedi
SSL
43
119
0
07 Jun 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human
  Videos
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
38
137
0
31 Mar 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
31
115
0
02 Jan 2021
Semi-supervised reward learning for offline reinforcement learning
Semi-supervised reward learning for offline reinforcement learning
Ksenia Konyushkova
Konrad Zolna
Y. Aytar
Alexander Novikov
Scott E. Reed
Serkan Cabi
Nando de Freitas
SSL
OffRL
73
23
0
12 Dec 2020
Reinforcement Learning with Videos: Combining Offline Observations with
  Interaction
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
Chelsea Finn
OffRL
16
105
0
12 Nov 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Neha Das
Sarah Bechtle
Todor Davchev
Dinesh Jayaraman
Akshara Rai
Franziska Meier
121
82
0
18 Oct 2020
Visual Imitation Made Easy
Visual Imitation Made Easy
S. Young
Dhiraj Gandhi
Shubham Tulsiani
Abhinav Gupta
Pieter Abbeel
Lerrel Pinto
24
137
0
11 Aug 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
Visual Task Progress Estimation with Appearance Invariant Embeddings for
  Robot Control and Planning
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning
Guilherme J. Maeda
Joni Väätäinen
Hironori Yoshida
22
2
0
16 Mar 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-Yu Liu
Cheng-Zhong Xu
FedML
25
67
0
24 Dec 2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human
  Videos
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
41
156
0
10 Dec 2019
Scaling data-driven robotics with reward sketching and batch
  reinforcement learning
Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi
Sergio Gomez Colmenarejo
Alexander Novikov
Ksenia Konyushkova
Scott E. Reed
...
David Barker
Jonathan Scholz
Misha Denil
Nando de Freitas
Ziyun Wang
OffRL
28
29
0
26 Sep 2019
Reinforcement Learning without Ground-Truth State
Reinforcement Learning without Ground-Truth State
Xingyu Lin
H. Baweja
David Held
OffRL
SSL
20
24
0
20 May 2019
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
48
830
0
16 Nov 2018
O2A: One-shot Observational learning with Action vectors
O2A: One-shot Observational learning with Action vectors
Leo Pauly
Wisdom C. Agboh
David C. Hogg
R. Fuentes
57
9
0
17 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie
Avi Singh
Sergey Levine
Chelsea Finn
OffRL
40
71
0
30 Sep 2018
Robot eye-hand coordination learning by watching human demonstrations: a
  task function approximation approach
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach
Jun Jin
Laura Petrich
Masood Dehghan
Zichen Zhang
Martin Jägersand
36
13
0
29 Sep 2018
Imitating Latent Policies from Observation
Imitating Latent Policies from Observation
Ashley D. Edwards
Himanshu Sahni
Yannick Schroecker
Charles Isbell
34
137
0
21 May 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff
Peter Henderson
Alexandre Piché
Vincent François-Lavet
Joelle Pineau
11
42
0
09 May 2018
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
63
298
0
23 Apr 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
30
145
0
02 Apr 2018
A Deep Learning Based Behavioral Approach to Indoor Autonomous
  Navigation
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation
G. Sepulveda
Juan Carlos Niebles
Á. Soto
GNN
16
37
0
12 Mar 2018
A Policy Search Method For Temporal Logic Specified Reinforcement
  Learning Tasks
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks
Xiao Li
Yao Ma
C. Belta
24
59
0
27 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn
Tianhe Yu
Tianhao Zhang
Pieter Abbeel
Sergey Levine
SSL
30
555
0
14 Sep 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video
  via Context Translation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
53
375
0
11 Jul 2017
Multi-Level Discovery of Deep Options
Multi-Level Discovery of Deep Options
Roy Fox
S. Krishnan
Ion Stoica
Ken Goldberg
24
124
0
24 Mar 2017
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