ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.04742
  4. Cited By
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
ArXivPDFHTML

Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 347 papers shown
Title
The Role of Exploration for Task Transfer in Reinforcement Learning
The Role of Exploration for Task Transfer in Reinforcement Learning
Jonathan C. Balloch
Julia Kim
Jessica B. Langebrake Inman
Mark O. Riedl
OffRL
26
3
0
11 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
38
26
0
10 Oct 2022
Using Both Demonstrations and Language Instructions to Efficiently Learn
  Robotic Tasks
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Albert Yu
Raymond J. Mooney
LM&Ro
32
19
0
10 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
50
20
0
07 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh
Vitalis Vosylius
Edward Johns
LM&Ro
DiffM
113
146
0
05 Oct 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
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
37
35
0
19 Sep 2022
Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and
  Toolkit
Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit
G. Sejnova
M. Vavrecka
Karla Stepanova
VGen
20
0
0
07 Sep 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Goal-Conditioned Q-Learning as Knowledge Distillation
Alexander Levine
S. Feizi
OffRL
22
2
0
28 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A
  Review
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
N. Botteghi
M. Poel
C. Brune
SSL
OffRL
36
11
0
27 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Sampling Through the Lens of Sequential Decision Making
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
26
19
0
17 Aug 2022
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement
  Learning for Robotic Sketching Agent
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent
Ganghun Lee
Minji Kim
M. Lee
Byoung-Tak Zhang
14
9
0
09 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
David M. Klee
Ondrej Biza
Robert W. Platt
OffRL
27
1
0
22 Jul 2022
A-SFS: Semi-supervised Feature Selection based on Multi-task
  Self-supervision
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
Zhifeng Qiu
Wanxin Zeng
Dahua Liao
Ning Gui
35
9
0
19 Jul 2022
Guided Exploration in Reinforcement Learning via Monte Carlo Critic
  Optimization
Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization
Igor Kuznetsov
23
2
0
25 Jun 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned
  Reinforcement Learning
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Yunfei Li
Tian Gao
Jiaqi Yang
Huazhe Xu
Yi Wu
OffRL
22
22
0
24 Jun 2022
Walk the Random Walk: Learning to Discover and Reach Goals Without
  Supervision
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
Alahari Karteek
34
4
0
23 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped Prediction
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
22
68
0
16 Jun 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
28
140
0
15 Jun 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal
  Reinforcement Learning
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
Nicolas Castanet
Sylvain Lamprier
Olivier Sigaud
17
2
0
14 Jun 2022
Visual Radial Basis Q-Network
Visual Radial Basis Q-Network
Julien Hautot
Céline Teulière
Nourddine Azzaoui
OffRL
13
1
0
14 Jun 2022
Deep Hierarchical Planning from Pixels
Deep Hierarchical Planning from Pixels
Danijar Hafner
Kuang-Huei Lee
Ian S. Fischer
Pieter Abbeel
39
92
0
08 Jun 2022
Language and Culture Internalisation for Human-Like Autotelic AI
Language and Culture Internalisation for Human-Like Autotelic AI
Cédric Colas
Tristan Karch
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
36
25
0
02 Jun 2022
A Fully Controllable Agent in the Path Planning using Goal-Conditioned
  Reinforcement Learning
A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning
G. Lee
30
0
0
20 May 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
58
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
29
27
0
27 Apr 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot
  Manipulation?
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Yuchen Cui
S. Niekum
Abhi Gupta
Vikash Kumar
Aravind Rajeswaran
LM&Ro
30
74
0
23 Apr 2022
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
Ahmed Akakzia
Olivier Sigaud
24
0
0
11 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning
  from Pixels
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Tianxin Tao
Daniele Reda
M. van de Panne
ViT
11
19
0
11 Apr 2022
JORLDY: a fully customizable open source framework for reinforcement
  learning
JORLDY: a fully customizable open source framework for reinforcement learning
Kyushik Min
Hyunho Lee
Kwansu Shin
Tae-woo Lee
Hojoon Lee
Jinwon Choi
Sung-Hyun Son
OnRL
14
0
0
11 Apr 2022
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning
  for Robotics
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
Frank Röder
Manfred Eppe
S. Wermter
32
7
0
08 Apr 2022
A Framework for Following Temporal Logic Instructions with Unknown
  Causal Dependencies
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies
Duo Xu
Faramarz Fekri
27
2
0
07 Apr 2022
Investigating the Properties of Neural Network Representations in
  Reinforcement Learning
Investigating the Properties of Neural Network Representations in Reinforcement Learning
Han Wang
Erfan Miahi
Martha White
Marlos C. Machado
Zaheer Abbas
Raksha Kumaraswamy
Vincent Liu
Adam White
17
26
0
30 Mar 2022
Zipfian environments for Reinforcement Learning
Zipfian environments for Reinforcement Learning
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Pierre Harvey Richemond
Felix Hill
OffRL
13
15
0
15 Mar 2022
Variational Autoencoders Without the Variation
Variational Autoencoders Without the Variation
Gregory A. Daly
J. Fieldsend
G. Tabor
31
2
0
01 Mar 2022
LISA: Learning Interpretable Skill Abstractions from Language
LISA: Learning Interpretable Skill Abstractions from Language
Divyansh Garg
Skanda Vaidyanath
Kuno Kim
Jiaming Song
Stefano Ermon
LM&Ro
OffRL
156
29
0
28 Feb 2022
Weakly Supervised Disentangled Representation for Goal-conditioned
  Reinforcement Learning
Weakly Supervised Disentangled Representation for Goal-conditioned Reinforcement Learning
Zhifeng Qian
Mingyu You
Hongjun Zhou
Bin He
DRL
OffRL
29
7
0
28 Feb 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum
  Generation
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation
Yuqing Du
Pieter Abbeel
Aditya Grover
46
18
0
22 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
Factored World Models for Zero-Shot Generalization in Robotic
  Manipulation
Factored World Models for Zero-Shot Generalization in Robotic Manipulation
Ondrej Biza
Thomas Kipf
David M. Klee
Robert W. Platt
Jan-Willem van de Meent
Lawson L. S. Wong
LM&Ro
19
9
0
10 Feb 2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic
  Agents
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents
Ahmed Akakzia
Olivier Serris
Olivier Sigaud
Cédric Colas
13
6
0
10 Feb 2022
State-Conditioned Adversarial Subgoal Generation
State-Conditioned Adversarial Subgoal Generation
V. Wang
Joni Pajarinen
Tinghuai Wang
Joni-Kristian Kämäräinen
55
11
0
24 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
35
132
0
20 Jan 2022
Look Closer: Bridging Egocentric and Third-Person Views with
  Transformers for Robotic Manipulation
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
Rishabh Jangir
Nicklas Hansen
Sambaran Ghosal
Mohit Jain
Xiaolong Wang
32
65
0
19 Jan 2022
Discrete and continuous representations and processing in deep learning:
  Looking forward
Discrete and continuous representations and processing in deep learning: Looking forward
Ruben Cartuyvels
Graham Spinks
Marie-Francine Moens
OCL
33
20
0
04 Jan 2022
RvS: What is Essential for Offline RL via Supervised Learning?
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons
Benjamin Eysenbach
Ilya Kostrikov
Sergey Levine
OffRL
31
170
0
20 Dec 2021
Stochastic Actor-Executor-Critic for Image-to-Image Translation
Stochastic Actor-Executor-Critic for Image-to-Image Translation
Ziwei Luo
Jing Hu
Xin Wang
Siwei Lyu
Bin Kong
Youbing Yin
Qi Song
Xi Wu
BDL
EGVM
30
5
0
14 Dec 2021
Information is Power: Intrinsic Control via Information Capture
Information is Power: Intrinsic Control via Information Capture
Nick Rhinehart
Jenny Wang
Glen Berseth
John D. Co-Reyes
Danijar Hafner
Chelsea Finn
Sergey Levine
34
9
0
07 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
23
18
0
02 Dec 2021
Previous
1234567
Next