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Visual Reinforcement Learning with Imagined Goals

Visual Reinforcement Learning with Imagined Goals

12 July 2018
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
    SSL
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Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 347 papers shown
Title
Learning to Identify Critical States for Reinforcement Learning from
  Videos
Learning to Identify Critical States for Reinforcement Learning from Videos
Haozhe Liu
Mingchen Zhuge
Bing Li
Yu‐Han Wang
Francesco Faccio
Guohao Li
Jürgen Schmidhuber
OffRL
28
6
0
15 Aug 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
Hanqing Wang
Wei Liang
Luc Van Gool
Wenguan Wang
LM&Ro
33
28
0
14 Aug 2023
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for
  Tactile Pushing
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
Max Yang
Yijiong Lin
Alex Church
John Lloyd
Dandan Zhang
David A.W. Barton
Nathan Lepora
OffRL
33
11
0
26 Jul 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from
  Human-in-the-Loop Feedback
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
M. Torné
Max Balsells
Zihan Wang
Samedh Desai
Tao Chen
Pulkit Agrawal
Abhishek Gupta
26
8
0
20 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based
  Reachability Planning
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning
Zhifeng Qian
Mingyu You
Hongjun Zhou
Xuanhui Xu
Bin He
26
3
0
20 Jul 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for
  Reinforcement Learning?
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
Jialu Gao
Kaizhe Hu
Guowei Xu
Huazhe Xu
LM&Ro
23
15
0
15 Jul 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill
  Learning
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
Andrew Levy
Sreehari Rammohan
A. Allievi
S. Niekum
George Konidaris
36
5
0
06 Jul 2023
Waypoint Transformer: Reinforcement Learning via Supervised Learning
  with Intermediate Targets
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Anirudhan Badrinath
Yannis Flet-Berliac
Allen Nie
Emma Brunskill
OffRL
32
16
0
24 Jun 2023
Learning from Pixels with Expert Observations
Learning from Pixels with Expert Observations
M. Hoang
Long Dinh
Hai V. Nguyen
OffRL
32
2
0
24 Jun 2023
LARG, Language-based Automatic Reward and Goal Generation
LARG, Language-based Automatic Reward and Goal Generation
Julien Perez
Denys Proux
Claude Roux
Michael Niemaz
LM&Ro
33
1
0
19 Jun 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from
  Offline Data
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng
Benjamin Eysenbach
Homer Walke
Patrick Yin
Kuan Fang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
42
4
0
06 Jun 2023
Representation-Driven Reinforcement Learning
Representation-Driven Reinforcement Learning
Ofir Nabati
Guy Tennenholtz
Shie Mannor
20
1
0
31 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
34
9
0
29 May 2023
Visual Affordance Prediction for Guiding Robot Exploration
Visual Affordance Prediction for Guiding Robot Exploration
Homanga Bharadhwaj
Abhi Gupta
Shubham Tulsiani
44
12
0
28 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient
  Visual Reinforcement Learning
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
42
10
0
25 May 2023
M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain
  Transfer
M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer
Bohan Wu
Roberto Martin-Martin
Li Fei-Fei
31
12
0
23 May 2023
Goal-Conditioned Supervised Learning with Sub-Goal Prediction
Goal-Conditioned Supervised Learning with Sub-Goal Prediction
Tom Jurgenson
Aviv Tamar
31
1
0
17 May 2023
Learning Video-Conditioned Policies for Unseen Manipulation Tasks
Learning Video-Conditioned Policies for Unseen Manipulation Tasks
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
27
18
0
10 May 2023
Energy-based Models are Zero-Shot Planners for Compositional Scene
  Rearrangement
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
N. Gkanatsios
Ayush Jain
Zhou Xian
Yunchu Zhang
C. Atkeson
Katerina Fragkiadaki
LM&Ro
98
31
0
27 Apr 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kaipeng Zhang
Pulkit Agrawal
49
15
0
27 Apr 2023
Discovering Object-Centric Generalized Value Functions From Pixels
Discovering Object-Centric Generalized Value Functions From Pixels
Somjit Nath
G. Subbaraj
Khimya Khetarpal
Samira Ebrahimi Kahou
OCL
28
2
0
27 Apr 2023
A Closer Look at Reward Decomposition for High-Level Robotic
  Explanations
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
Wenhao Lu
Xufeng Zhao
S. Magg
M. Gromniak
Mengdi Li
S. Wermter
38
7
0
25 Apr 2023
Affordances from Human Videos as a Versatile Representation for Robotics
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl
Russell Mendonca
Lili Chen
Unnat Jain
Deepak Pathak
44
164
0
17 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman
Bibek Poudel
Taylor Michael Villarreal
Xiaofei Zhang
Weizi Li
36
6
0
14 Apr 2023
Reinforcement Learning from Passive Data via Latent Intentions
Reinforcement Learning from Passive Data via Latent Intentions
Dibya Ghosh
Chethan Bhateja
Sergey Levine
OffRL
26
43
0
10 Apr 2023
Switching Pushing Skill Combined MPC and Deep Reinforcement Learning for
  Planar Non-prehensile Manipulation
Switching Pushing Skill Combined MPC and Deep Reinforcement Learning for Planar Non-prehensile Manipulation
Bo Zhang
Cong Huang
Haixu Zhang
Xiaoshan Bai
18
0
0
30 Mar 2023
Planning Goals for Exploration
Planning Goals for Exploration
E. Hu
Richard Chang
Oleh Rybkin
Dinesh Jayaraman
43
24
0
23 Mar 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under
  Low-rank MDPs
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Yuan Cheng
Ruiquan Huang
J. Yang
Yitao Liang
OffRL
41
8
0
20 Mar 2023
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
Grounded Decoding: Guiding Text Generation with Grounded Models for
  Embodied Agents
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
Wenlong Huang
Fei Xia
Dhruv Shah
Danny Driess
Andy Zeng
...
Pete Florence
Igor Mordatch
Sergey Levine
Karol Hausman
Brian Ichter
LM&Ro
27
42
0
01 Mar 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World
ALAN: Autonomously Exploring Robotic Agents in the Real World
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
36
20
0
13 Feb 2023
One-shot Visual Imitation via Attributed Waypoints and Demonstration
  Augmentation
One-shot Visual Imitation via Attributed Waypoints and Demonstration Augmentation
Matthew Chang
Saurabh Gupta
35
4
0
09 Feb 2023
Story Shaping: Teaching Agents Human-like Behavior with Stories
Story Shaping: Teaching Agents Human-like Behavior with Stories
Xiangyu Peng
Christopher Cui
Wei Zhou
Renee Jia
Mark O. Riedl
19
6
0
24 Jan 2023
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning
  for Voice-Controlled Robots
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
Peixin Chang
Shuijing Liu
Tianchen Ji
Neeloy Chakraborty
Kaiwen Hong
Katherine Driggs-Campbell
51
3
0
23 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
44
18
0
05 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Qiyang Li
Yuexiang Zhai
Yi Ma
Sergey Levine
37
14
0
24 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
40
21
0
13 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation
  Learning
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi
Homanga Bharadhwaj
Vincent Moens
Shuran Song
Aravind Rajeswaran
Vikash Kumar
LM&Ro
28
70
0
12 Dec 2022
VideoDex: Learning Dexterity from Internet Videos
VideoDex: Learning Dexterity from Internet Videos
Kenneth Shaw
Shikhar Bahl
Deepak Pathak
30
89
0
08 Dec 2022
Improved Representation of Asymmetrical Distances with Interval
  Quasimetric Embeddings
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang
Phillip Isola
27
7
0
28 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward
  Functions
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal
M. Teichmann
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
30
2
0
15 Nov 2022
Autotelic Reinforcement Learning in Multi-Agent Environments
Autotelic Reinforcement Learning in Multi-Agent Environments
Eleni Nisioti
E. Masquil
Gautier Hamon
Clément Moulin-Frier
29
1
0
11 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single
  Demonstration
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration
Alexandre Chenu
Olivier Serris
Olivier Sigaud
Nicolas Perrin-Gilbert
22
4
0
09 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
27
38
0
06 Nov 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
15
0
27 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement
  Learning
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu
Nicklas Hansen
Zirui Wang
Yung-Chieh Chan
H. Su
Z. Tu
OffRL
31
15
0
19 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Abdus Salam Azad
Izzeddin Gur
Jasper Emhoff
Nathaniel Alexis
Aleksandra Faust
Pieter Abbeel
Ion Stoica
SSL
29
12
0
19 Oct 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze
Nicklas Hansen
Yinbo Chen
Mohit Jain
Xiaolong Wang
SSL
30
49
0
13 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
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