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Hindsight Experience Replay
v1v2v3 (latest)

Hindsight Experience Replay

5 July 2017
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
    OffRL
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Papers citing "Hindsight Experience Replay"

50 / 1,267 papers shown
Title
Towards Intelligent Pick and Place Assembly of Individualized Products
  Using Reinforcement Learning
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning
Caterina Neef
Dario Luipers
J. Bollenbacher
Christian Gebel
A. Richert
59
4
0
11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering
  Skills
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Victor Campos
Alexander R. Trott
Caiming Xiong
R. Socher
Xavier Giró-i-Nieto
Jordi Torres
OffRL
101
156
0
10 Feb 2020
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Vincent Micheli
Karthigan Sinnathamby
Franccois Fleuret
70
2
0
08 Feb 2020
Accelerating Reinforcement Learning for Reaching using Continuous
  Curriculum Learning
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning
Sha Luo
Hamidreza Kasaei
Lambert Schomaker
CLL
89
46
0
07 Feb 2020
Soft Hindsight Experience Replay
Soft Hindsight Experience Replay
Qiwei He
Liansheng Zhuang
Houqiang Li
61
9
0
06 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated
  Reinforcement Learning
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning
Rui Zhao
Yang Gao
Pieter Abbeel
Volker Tresp
Wenyuan Xu
SSL
57
4
0
05 Feb 2020
Bootstrapping a DQN Replay Memory with Synthetic Experiences
Bootstrapping a DQN Replay Memory with Synthetic Experiences
Wenzel Pilar von Pilchau
Anthony Stein
J. Hähner
OffRL
48
10
0
04 Feb 2020
Q-Learning in enormous action spaces via amortized approximate
  maximization
Q-Learning in enormous action spaces via amortized approximate maximization
T. Wiele
David Warde-Farley
A. Mnih
Volodymyr Mnih
78
60
0
22 Jan 2020
A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions
A. Mondal
OffRL
53
8
0
19 Jan 2020
Effects of sparse rewards of different magnitudes in the speed of
  learning of model-based actor critic methods
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods
Juan Vargas
L. Andjelic
A. Farimani
55
1
0
18 Jan 2020
Multi-Robot Formation Control Using Reinforcement Learning
Multi-Robot Formation Control Using Reinforcement Learning
Abhay Rawat
K. Karlapalem
36
4
0
13 Jan 2020
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse
  Feedback
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback
Binyamin Manela
35
0
0
12 Jan 2020
Reward Engineering for Object Pick and Place Training
Reward Engineering for Object Pick and Place Training
Raghav Nagpal
Achyuthan Unni Krishnan
Hanshen Yu
24
8
0
11 Jan 2020
A Boolean Task Algebra for Reinforcement Learning
A Boolean Task Algebra for Reinforcement Learning
Geraud Nangue Tasse
Steven D. James
Benjamin Rosman
96
55
0
06 Jan 2020
Universal Successor Features for Transfer Reinforcement Learning
Universal Successor Features for Transfer Reinforcement Learning
Chen Ma
Dylan R. Ashley
Junfeng Wen
Yoshua Bengio
OffRL
58
26
0
05 Jan 2020
Reinforcement Learning with Goal-Distance Gradient
Reinforcement Learning with Goal-Distance Gradient
Kai Jiang
X. Qin
29
0
0
01 Jan 2020
Reward-Conditioned Policies
Reward-Conditioned Policies
Aviral Kumar
Xue Bin Peng
Sergey Levine
71
96
0
31 Dec 2019
Intrinsic motivations and open-ended learning
Intrinsic motivations and open-ended learning
Gianluca Baldassarre
AI4CE
72
8
0
31 Dec 2019
Towards Practical Multi-Object Manipulation using Relational
  Reinforcement Learning
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
R. Li
Allan Jabri
Trevor Darrell
Pulkit Agrawal
OffRL
77
112
0
23 Dec 2019
Questions to Guide the Future of Artificial Intelligence Research
Questions to Guide the Future of Artificial Intelligence Research
J. Ott
24
3
0
21 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse
  Rewards
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards
Xingyu Lu
Stas Tiomkin
Pieter Abbeel
OffRL
70
5
0
21 Dec 2019
Uncertainty-sensitive Learning and Planning with Ensembles
Uncertainty-sensitive Learning and Planning with Ensembles
Piotr Milo's
Lukasz Kuciñski
K. Czechowski
Piotr Kozakowski
Maciek Klimek
OffRL
82
8
0
19 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain
  Randomisation
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai
Kai Arulkumaran
Tamara Gerbert
Samyakh Tukra
Feryal M. P. Behbahani
Anil Anthony Bharath
87
28
0
18 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs
Aniruddha Kembhavi
Kiana Ehsani
Sarah M Pratt
Winson Han
Alvaro Herrasti
Eric Kolve
Dustin Schwenk
Roozbeh Mottaghi
Ali Farhadi
63
9
0
17 Dec 2019
To Follow or not to Follow: Selective Imitation Learning from
  Observations
To Follow or not to Follow: Selective Imitation Learning from Observations
Youngwoon Lee
E. Hu
Zhengyu Yang
Joseph J. Lim
62
15
0
16 Dec 2019
Learning to Reach Goals via Iterated Supervised Learning
Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh
Abhishek Gupta
Ashwin Reddy
Justin Fu
Coline Devin
Benjamin Eysenbach
Sergey Levine
117
35
0
12 Dec 2019
Efficient Robotic Task Generalization Using Deep Model Fusion
  Reinforcement Learning
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
Tianying Wang
Hao Zhang
Wei Qi Toh
Erik Cambria
Cheston Tan
Yan Wu
Yong Liu
Wei Jing
33
6
0
11 Dec 2019
How Does an Approximate Model Help in Reinforcement Learning?
How Does an Approximate Model Help in Reinforcement Learning?
Fei Feng
W. Yin
Lin F. Yang
43
6
0
06 Dec 2019
Training Agents using Upside-Down Reinforcement Learning
Training Agents using Upside-Down Reinforcement Learning
R. Srivastava
Pranav Shyam
Filipe Wall Mutz
Wojciech Ja'skowski
Jürgen Schmidhuber
OffRL
93
126
0
05 Dec 2019
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map
  Them to Actions
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
J. Schmidhuber
84
133
0
05 Dec 2019
Hindsight Credit Assignment
Hindsight Credit Assignment
Anna Harutyunyan
Will Dabney
Thomas Mesnard
M. G. Azar
Bilal Piot
...
H. V. Hasselt
Greg Wayne
Satinder Singh
Doina Precup
Rémi Munos
95
75
0
05 Dec 2019
Learning from Interventions using Hierarchical Policies for Safe
  Learning
Learning from Interventions using Hierarchical Policies for Safe Learning
Jing Bi
Vikas Dhiman
Tianyou Xiao
Chenliang Xu
OffRL
39
5
0
04 Dec 2019
Distributed Soft Actor-Critic with Multivariate Reward Representation
  and Knowledge Distillation
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation
Dmitry Akimov
29
10
0
29 Nov 2019
Accelerating Reinforcement Learning with Suboptimal Guidance
Accelerating Reinforcement Learning with Suboptimal Guidance
Eivind Bøhn
Signe Moe
T. Johansen
OnRL
41
0
0
21 Nov 2019
Planning with Goal-Conditioned Policies
Planning with Goal-Conditioned Policies
Soroush Nasiriany
Vitchyr H. Pong
Steven Lin
Sergey Levine
OffRL
154
219
0
19 Nov 2019
Attention-Privileged Reinforcement Learning
Attention-Privileged Reinforcement Learning
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
104
8
0
19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex
  Manipulation Tasks
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Youngwoon Lee
E. Hu
Zhengyu Yang
Alexander Yin
Joseph J. Lim
98
124
0
17 Nov 2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning
  Control from Offline Robot Manipulation Data
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
Ajay Mandlekar
Fabio Ramos
Byron Boots
Silvio Savarese
Li Fei-Fei
Animesh Garg
Dieter Fox
OffRL
103
121
0
13 Nov 2019
Real-Time Reinforcement Learning
Real-Time Reinforcement Learning
Simon Ramstedt
C. Pal
AI4CE
96
63
0
11 Nov 2019
Language Grounding through Social Interactions and Curiosity-Driven
  Multi-Goal Learning
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
Nicolas Lair
Cédric Colas
Rémy Portelas
Jean-Michel Dussoux
Peter Ford Dominey
Pierre-Yves Oudeyer
LM&Ro
50
7
0
08 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
75
57
0
05 Nov 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing
  Shaped Rewards
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander R. Trott
Stephan Zheng
Caiming Xiong
R. Socher
125
112
0
04 Nov 2019
Dynamic Cloth Manipulation with Deep Reinforcement Learning
Dynamic Cloth Manipulation with Deep Reinforcement Learning
Rishabh Jangir
Guillem Alenyà
Carme Torras
AI4CE
84
101
0
31 Oct 2019
Object-oriented state editing for HRL
Object-oriented state editing for HRL
V. Bapst
Alvaro Sanchez-Gonzalez
Omar Shams
Kimberly L. Stachenfeld
Peter W. Battaglia
Satinder Singh
Jessica B. Hamrick
39
3
0
31 Oct 2019
Policy Continuation with Hindsight Inverse Dynamics
Policy Continuation with Hindsight Inverse Dynamics
Hao Sun
Zhizhong Li
Xiaotong Liu
Dahua Lin
Bolei Zhou
86
38
0
30 Oct 2019
Task-Oriented Language Grounding for Language Input with Multiple
  Sub-Goals of Non-Linear Order
Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
Vladislav Kurenkov
Bulat Maksudov
Adil Khan
40
1
0
27 Oct 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and
  Reinforcement Learning
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta
Vikash Kumar
Corey Lynch
Sergey Levine
Karol Hausman
118
435
0
25 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
Contextual Imagined Goals for Self-Supervised Robotic Learning
Ashvin Nair
Shikhar Bahl
Alexander Khazatsky
Vitchyr H. Pong
Glen Berseth
Sergey Levine
SSL
87
68
0
23 Oct 2019
HIGhER : Improving instruction following with Hindsight Generation for
  Experience Replay
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay
Geoffrey Cideron
Mathieu Seurin
Florian Strub
Olivier Pietquin
73
37
0
21 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning
Dealing with Sparse Rewards in Reinforcement Learning
J. Hare
64
80
0
21 Oct 2019
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