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Actionable Models: Unsupervised Offline Reinforcement Learning of
  Robotic Skills

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills

15 April 2021
Yevgen Chebotar
Karol Hausman
Yao Lu
Ted Xiao
Dmitry Kalashnikov
Jacob Varley
A. Irpan
Benjamin Eysenbach
Ryan Julian
Chelsea Finn
Sergey Levine
    SSL
    OffRL
ArXivPDFHTML

Papers citing "Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills"

50 / 106 papers shown
Title
Goal-conditioned Offline Reinforcement Learning through State Space
  Partitioning
Goal-conditioned Offline Reinforcement Learning through State Space Partitioning
Mianchu Wang
Yue Jin
Giovanni Montana
OffRL
21
3
0
16 Mar 2023
Open-World Object Manipulation using Pre-trained Vision-Language Models
Open-World Object Manipulation using Pre-trained Vision-Language Models
Austin Stone
Ted Xiao
Yao Lu
K. Gopalakrishnan
Kuang-Huei Lee
...
Sean Kirmani
Brianna Zitkovich
F. Xia
Chelsea Finn
Karol Hausman
LM&Ro
150
145
0
02 Mar 2023
Swapped goal-conditioned offline reinforcement learning
Swapped goal-conditioned offline reinforcement learning
Wenyan Yang
Huiling Wang
Dingding Cai
Joni Pajarinen
Joni-Kristen Kämäräinen
OffRL
OnRL
28
1
0
17 Feb 2023
Prioritized offline Goal-swapping Experience Replay
Prioritized offline Goal-swapping Experience Replay
Wenyan Yang
Joni Pajarinen
Dinging Cai
Joni Kämäräinen
OffRL
OnRL
24
0
0
15 Feb 2023
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with
  General Function Approximation and Single-Policy Concentrability
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
Hanlin Zhu
Amy Zhang
OffRL
16
2
0
07 Feb 2023
Learning to Generate All Feasible Actions
Learning to Generate All Feasible Actions
Mirco Theile
Daniele Bernardini
Raphael Trumpp
C. Piazza
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
29
2
0
26 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
41
18
0
05 Jan 2023
Offline Reinforcement Learning for Visual Navigation
Offline Reinforcement Learning for Visual Navigation
Dhruv Shah
Arjun Bhorkar
Hrish Leen
Ilya Kostrikov
Nicholas Rhinehart
Sergey Levine
OffRL
24
29
0
16 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and
  Recent Results
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results
Sergey Levine
Dhruv Shah
SSL
34
21
0
13 Dec 2022
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning
Onur Beker
Mohammad Mohammadi
Amir Zamir
29
3
0
08 Dec 2022
Offline Q-Learning on Diverse Multi-Task Data Both Scales And
  Generalizes
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar
Rishabh Agarwal
Xinyang Geng
George Tucker
Sergey Levine
OffRL
39
48
0
28 Nov 2022
Robotic Skill Acquisition via Instruction Augmentation with
  Vision-Language Models
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
Ted Xiao
Harris Chan
P. Sermanet
Ayzaan Wahid
Anthony Brohan
Karol Hausman
Sergey Levine
Jonathan Tompson
VLM
LM&Ro
32
65
0
21 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
26
23
0
08 Nov 2022
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal
  Specification and Reward Learning from Human Preferences
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
L. Guan
Karthik Valmeekam
Subbarao Kambhampati
51
8
0
28 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
28
14
0
27 Oct 2022
STAP: Sequencing Task-Agnostic Policies
STAP: Sequencing Task-Agnostic Policies
Christopher Agia
Toki Migimatsu
Jiajun Wu
Jeannette Bohg
35
19
0
21 Oct 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for
  Learning Visuomotor Tasks
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Kuan Fang
Patrick Yin
Ashvin Nair
Homer Walke
Ge Yan
Sergey Levine
OffRL
31
22
0
12 Oct 2022
Real World Offline Reinforcement Learning with Realistic Data Source
Real World Offline Reinforcement Learning with Realistic Data Source
G. Zhou
Liyiming Ke
S. Srinivasa
Abhi Gupta
Aravind Rajeswaran
Vikash Kumar
OffRL
40
21
0
12 Oct 2022
Interactive Language: Talking to Robots in Real Time
Interactive Language: Talking to Robots in Real Time
Corey Lynch
Ayzaan Wahid
Jonathan Tompson
Tianli Ding
James Betker
Robert Baruch
Travis Armstrong
Peter R. Florence
LM&Ro
35
214
0
12 Oct 2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a
  Handful of Trials
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar
Anika Singh
F. Ebert
Mitsuhiko Nakamoto
Yanlai Yang
Chelsea Finn
Sergey Levine
OffRL
OnRL
123
66
0
11 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R. Sanketi
Corey Lynch
47
20
0
07 Oct 2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with
  Multi-choice Dynamics Model
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Yifu Yuan
Jianye Hao
Fei Ni
Yao Mu
Yan Zheng
Yujing Hu
Jinyi Liu
Yingfeng Chen
Changjie Fan
75
12
0
02 Oct 2022
VIP: Towards Universal Visual Reward and Representation via
  Value-Implicit Pre-Training
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma
Shagun Sodhani
Dinesh Jayaraman
Osbert Bastani
Vikash Kumar
Amy Zhang
SSL
OffRL
24
282
0
30 Sep 2022
Understanding Hindsight Goal Relabeling from a Divergence Minimization
  Perspective
Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective
Lunjun Zhang
Bradly C. Stadie
22
1
0
26 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
28
81
0
19 Sep 2022
A One-Shot Reparameterization Method for Reducing the Loss of Tile
  Pruning on DNNs
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
Yancheng Li
Qingzhong Ai
Fumihiko Ino
30
0
0
29 Jul 2022
Learning Dynamic Manipulation Skills from Haptic-Play
Learning Dynamic Manipulation Skills from Haptic-Play
Taeyoon Lee
D. Sung
Kyoung-Whan Choi
Choong-Keun Lee
Changwoo Park
Keunjun Choi
32
3
0
28 Jul 2022
Multi-Horizon Representations with Hierarchical Forward Models for
  Reinforcement Learning
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
Trevor A. McInroe
Lukas Schafer
Stefano V. Albrecht
22
4
0
22 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from
  Visual Observations
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Cong Lu
Philip J. Ball
Tim G. J. Rudner
Jack Parker-Holder
Michael A. Osborne
Yee Whye Teh
OffRL
24
52
0
09 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
  $f$-Advantage Regression
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via fff-Advantage Regression
Yecheng Jason Ma
Jason Yan
Dinesh Jayaraman
Osbert Bastani
OffRL
17
51
0
07 Jun 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in
  Latent Space
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
52
29
0
17 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Philippe Hansen-Estruch
Amy Zhang
Ashvin Nair
Patrick Yin
Sergey Levine
AI4CE
26
27
0
27 Apr 2022
Skill-based Meta-Reinforcement Learning
Skill-based Meta-Reinforcement Learning
Taewook Nam
Shao-Hua Sun
Karl Pertsch
Sung Ju Hwang
Joseph J. Lim
OffRL
23
45
0
25 Apr 2022
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-Tao Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
45
1,845
0
04 Apr 2022
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement
  Learning
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
Jinxin Liu
Hongyin Zhang
Donglin Wang
OffRL
22
32
0
13 Mar 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
Dhruv Shah
Sergey Levine
132
66
0
23 Feb 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to
  Offline RL
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL
Rui Yang
Yiming Lu
Wenzhe Li
Hao Sun
Meng Fang
Yali Du
Xiu Li
Lei Han
Chongjie Zhang
OffRL
40
65
0
09 Feb 2022
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
518
0
04 Feb 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
29
61
0
03 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
137
95
0
28 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning
The Challenges of Exploration for Offline Reinforcement Learning
Nathan Lambert
Markus Wulfmeier
William F. Whitney
Arunkumar Byravan
Michael Bloesch
Vibhavari Dasagi
Tim Hertweck
Martin Riedmiller
OffRL
26
27
0
27 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
27
132
0
20 Jan 2022
Wish you were here: Hindsight Goal Selection for long-horizon dexterous
  manipulation
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev
Oleg O. Sushkov
Jean-Baptiste Regli
S. Schaal
Y. Aytar
Markus Wulfmeier
Jonathan Scholz
16
18
0
01 Dec 2021
Generalized Decision Transformer for Offline Hindsight Information
  Matching
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta
Y. Matsuo
S. Gu
OffRL
13
99
0
19 Nov 2021
Understanding the World Through Action
Understanding the World Through Action
Sergey Levine
SSL
OffRL
11
19
0
24 Oct 2021
Discovering and Achieving Goals via World Models
Discovering and Achieving Goals via World Models
Russell Mendonca
Oleh Rybkin
Kostas Daniilidis
Danijar Hafner
Deepak Pathak
25
117
0
18 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior
  Engineering beyond Reward Maximization
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
S. Gu
Manfred Diaz
Daniel Freeman
Hiroki Furuta
Seyed Kamyar Seyed Ghasemipour
Anton Raichuk
Byron David
Erik Frey
Erwin Coumans
Olivier Bachem
38
14
0
10 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
61
31
0
06 Oct 2021
Learning Periodic Tasks from Human Demonstrations
Learning Periodic Tasks from Human Demonstrations
Jingyun Yang
Junwu Zhang
Connor Settle
Akshara Rai
Rika Antonova
Jeannette Bohg
104
24
0
28 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Aviral Kumar
Anika Singh
Stephen Tian
Chelsea Finn
Sergey Levine
OffRL
143
85
0
22 Sep 2021
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