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Hindsight Experience Replay

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"

42 / 1,242 papers shown
Title
Learning 6-DoF Grasping and Pick-Place Using Attention Focus
Learning 6-DoF Grasping and Pick-Place Using Attention Focus
Marcus Gualtieri
Robert W. Platt
20
56
0
15 Jun 2018
Maximum a Posteriori Policy Optimisation
Maximum a Posteriori Policy Optimisation
A. Abdolmaleki
Jost Tobias Springenberg
Yuval Tassa
Rémi Munos
N. Heess
Martin Riedmiller
34
470
0
14 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
46
106
0
12 Jun 2018
Learning Self-Imitating Diverse Policies
Learning Self-Imitating Diverse Policies
Tanmay Gangwani
Qiang Liu
Jian Peng
14
65
0
25 May 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
36
795
0
21 May 2018
Hierarchical Reinforcement Learning with Hindsight
Andrew Levy
Robert W. Platt
Kate Saenko
18
83
0
21 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
12
222
0
21 May 2018
Reward Learning from Narrated Demonstrations
Reward Learning from Narrated Demonstrations
H. Tung
Adam W. Harley
Liang-Kang Huang
Katerina Fragkiadaki
LM&Ro
SSL
23
28
0
27 Apr 2018
Deep Reinforcement Learning to Acquire Navigation Skills for
  Wheel-Legged Robots in Complex Environments
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments
Xi Chen
Ali Ghadirzadeh
John Folkesson
Patric Jensfelt
14
43
0
27 Apr 2018
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
51
298
0
23 Apr 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
25
145
0
02 Apr 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
24
20
0
19 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
19
230
0
19 Mar 2018
Composable Planning with Attributes
Composable Planning with Attributes
Amy Zhang
Adam Lerer
Sainbayar Sukhbaatar
Rob Fergus
Arthur Szlam
12
64
0
01 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller
Roland Hafner
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
24
445
0
28 Feb 2018
Computational Theories of Curiosity-Driven Learning
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
21
64
0
28 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and
  Request for Research
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert
Marcin Andrychowicz
Alex Ray
Bob McGrew
Bowen Baker
...
Joshua Tobin
Maciek Chociej
Peter Welinder
Vikash Kumar
Wojciech Zaremba
17
556
0
26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr H. Pong
S. Gu
Murtaza Dalal
Sergey Levine
OffRL
66
237
0
25 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided
  Exploration
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
E. Liu
Kelvin Guu
Panupong Pasupat
Tianlin Shi
Percy Liang
OnRL
16
205
0
24 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent
Unicorn: Continual Learning with a Universal, Off-policy Agent
D. Mankowitz
Augustin Žídek
André Barreto
Dan Horgan
Matteo Hessel
John Quan
Junhyuk Oh
H. V. Hasselt
David Silver
Tom Schaul
CLL
OffRL
17
48
0
22 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement
  Learning Algorithms
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
Cédric Colas
Olivier Sigaud
Pierre-Yves Oudeyer
21
157
0
14 Feb 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
49
227
0
13 Feb 2018
ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks
ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks
Tae-Hoon Kim
Jonghyun Choi
20
9
0
03 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang
Richard Liaw
Philipp Moritz
Robert Nishihara
Roy Fox
Ken Goldberg
Joseph E. Gonzalez
Michael I. Jordan
Ion Stoica
OffRL
AI4CE
23
173
0
26 Dec 2017
Learning Multi-Level Hierarchies with Hindsight
Learning Multi-Level Hierarchies with Hindsight
Andrew Levy
George Konidaris
Robert W. Platt
Kate Saenko
19
79
0
04 Dec 2017
A Deeper Look at Experience Replay
A Deeper Look at Experience Replay
Shangtong Zhang
R. Sutton
OffRL
VLM
25
268
0
04 Dec 2017
Divide-and-Conquer Reinforcement Learning
Divide-and-Conquer Reinforcement Learning
Dibya Ghosh
Avi Singh
Aravind Rajeswaran
Vikash Kumar
Sergey Levine
OffRL
34
124
0
27 Nov 2017
Hindsight policy gradients
Hindsight policy gradients
Paulo E. Rauber
Avinash Ummadisingu
Filipe Wall Mutz
J. Schmidhuber
22
68
0
16 Nov 2017
Asymmetric Actor Critic for Image-Based Robot Learning
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OffRL
12
361
0
18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
67
1,337
0
18 Oct 2017
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from
  Simulation
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
Kuan Fang
Yunfei Bai
Stefan Hinterstoißer
Silvio Savarese
Mrinal Kalakrishnan
OOD
20
116
0
17 Oct 2017
Emergent Complexity via Multi-Agent Competition
Emergent Complexity via Multi-Agent Competition
Trapit Bansal
J. Pachocki
Szymon Sidor
Ilya Sutskever
Igor Mordatch
6
384
0
10 Oct 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
22
769
0
28 Sep 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning
  and Demonstrations
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran
Vikash Kumar
Abhishek Gupta
Giulia Vezzani
John Schulman
E. Todorov
Sergey Levine
37
1,068
0
28 Sep 2017
Shared Learning : Enhancing Reinforcement in $Q$-Ensembles
Shared Learning : Enhancing Reinforcement in QQQ-Ensembles
Rakesh R Menon
Balaraman Ravindran
20
0
0
14 Sep 2017
Learning Generalized Reactive Policies using Deep Neural Networks
Learning Generalized Reactive Policies using Deep Neural Networks
E. Groshev
Maxwell Goldstein
Aviv Tamar
Siddharth Srivastava
Pieter Abbeel
11
119
0
24 Aug 2017
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
10
184
0
07 Aug 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous
  Control Tasks Simultaneously
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi
Sergio Gomez Colmenarejo
Matthew W. Hoffman
Misha Denil
Ziyun Wang
Nando de Freitas
28
31
0
11 Jul 2017
Experience Replay Using Transition Sequences
Experience Replay Using Transition Sequences
Thommen George Karimpanal
Roland Bouffanais
OffRL
12
14
0
30 May 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
57
497
0
17 May 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Factored Contextual Policy Search with Bayesian Optimization
Factored Contextual Policy Search with Bayesian Optimization
Peter Karkus
A. Kupcsik
David Hsu
Wee Sun Lee
OffRL
19
10
0
06 Dec 2016
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