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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 / 235 papers shown
Title
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
Lina Mezghani
Sainbayar Sukhbaatar
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Alahari Karteek
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0
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BYOL-Explore: Exploration by Bootstrapped Prediction
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
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...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
106
73
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16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
115
164
0
15 Jun 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
Nicolas Castanet
Sylvain Lamprier
Olivier Sigaud
71
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0
14 Jun 2022
Visual Radial Basis Q-Network
Julien Hautot
Céline Teulière
Nourddine Azzaoui
OffRL
49
1
0
14 Jun 2022
Deep Hierarchical Planning from Pixels
Danijar Hafner
Kuang-Huei Lee
Ian S. Fischer
Pieter Abbeel
79
95
0
08 Jun 2022
Language and Culture Internalisation for Human-Like Autotelic AI
Cédric Colas
Tristan Karch
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
98
27
0
02 Jun 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
109
35
0
17 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Philippe Hansen-Estruch
Amy Zhang
Ashvin Nair
Patrick Yin
Sergey Levine
AI4CE
107
28
0
27 Apr 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Yuchen Cui
S. Niekum
Abhi Gupta
Vikash Kumar
Aravind Rajeswaran
LM&Ro
88
80
0
23 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Tianxin Tao
Daniele Reda
M. van de Panne
ViT
78
19
0
11 Apr 2022
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
28
0
0
11 Apr 2022
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
Frank Röder
Manfred Eppe
S. Wermter
80
7
0
08 Apr 2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies
Duo Xu
Faramarz Fekri
67
2
0
07 Apr 2022
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
94
29
0
30 Mar 2022
Zipfian environments for Reinforcement Learning
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Pierre Harvey Richemond
Felix Hill
OffRL
122
15
0
15 Mar 2022
Variational Autoencoders Without the Variation
Gregory A. Daly
J. Fieldsend
G. Tabor
63
2
0
01 Mar 2022
LISA: Learning Interpretable Skill Abstractions from Language
Divyansh Garg
Skanda Vaidyanath
Kuno Kim
Jiaming Song
Stefano Ermon
LM&Ro
OffRL
235
30
0
28 Feb 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation
Yuqing Du
Pieter Abbeel
Aditya Grover
109
18
0
22 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
101
7
0
16 Feb 2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents
Ahmed Akakzia
Olivier Serris
Olivier Sigaud
Cédric Colas
52
6
0
10 Feb 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
104
144
0
20 Jan 2022
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
Rishabh Jangir
Nicklas Hansen
Sambaran Ghosal
Mohit Jain
Xiaolong Wang
116
70
0
19 Jan 2022
Discrete and continuous representations and processing in deep learning: Looking forward
Ruben Cartuyvels
Graham Spinks
Marie-Francine Moens
OCL
91
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0
04 Jan 2022
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons
Benjamin Eysenbach
Ilya Kostrikov
Sergey Levine
OffRL
111
184
0
20 Dec 2021
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
36
5
0
14 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
71
17
0
02 Dec 2021
Adaptive Multi-Goal Exploration
Jean Tarbouriech
O. D. Domingues
Pierre Ménard
Matteo Pirotta
Michal Valko
A. Lazaric
138
3
0
23 Nov 2021
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta
Y. Matsuo
S. Gu
OffRL
116
104
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19 Nov 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang
Sungryull Sohn
Jongwook Choi
Wilka Carvalho
Honglak Lee
74
32
0
18 Nov 2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing
X. Tan
Zhikang Liu
Chenxiao Yu
A. Rosendo
29
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15 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Dhruv Shah
Peng Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
86
43
0
04 Nov 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
H. Chung
Jungtaek Kim
Boris Knyazev
Jinhwi Lee
Graham W. Taylor
Jaesik Park
Minsu Cho
SSL
OffRL
53
20
0
29 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Tung M. Luu
Chang D. Yoo
80
8
0
28 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OOD
AI4CE
106
14
0
27 Oct 2021
Towards Robust Bisimulation Metric Learning
Mete Kemertas
Tristan Aumentado-Armstrong
OffRL
77
48
0
27 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu
Hao Shen
Donglin Wang
Yachen Kang
Qiangxing Tian
85
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0
25 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Kibeom Kim
Min Whoo Lee
Yoonsung Kim
Je-hwan Ryu
Minsu Lee
Byoung-Tak Zhang
71
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0
25 Oct 2021
Discovering and Achieving Goals via World Models
Russell Mendonca
Oleh Rybkin
Kostas Daniilidis
Danijar Hafner
Deepak Pathak
101
127
0
18 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Marco Bagatella
Miroslav Olsák
Michal Rolínek
Georg Martius
OffRL
65
7
0
12 Oct 2021
Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design
Ayush Raina
Lucas Puentes
Jonathan Cagan
Christopher McComb
AI4CE
77
6
0
07 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
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72
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0
05 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
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LM&Ro
160
24
0
21 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
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Chelsea Finn
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91
77
0
16 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
86
103
0
14 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Andrii Zadaianchuk
Georg Martius
Fanny Yang
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114
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0
09 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
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132
160
0
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A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
62
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0
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Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
130
190
0
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MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Wenliang Li
Abhishek Gupta
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Justin Yu
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71
31
0
15 Jul 2021
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