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1707.01495
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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
Re-assign community
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Papers citing
"Hindsight Experience Replay"
50 / 1,267 papers shown
Title
Language Conditioned Imitation Learning over Unstructured Data
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Planning to Explore via Self-Supervised World Models
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Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
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412
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12 May 2020
TOMA: Topological Map Abstraction for Reinforcement Learning
Zhao-Heng Yin
Wu-Jun Li
37
2
0
11 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning
Frank Röder
Manfred Eppe
Phuong D. H. Nguyen
S. Wermter
64
21
0
07 May 2020
Adaptive Dialog Policy Learning with Hindsight and User Modeling
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Keting Lu
Xiaoping Chen
Shiqi Zhang
155
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07 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning
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E. Tosello
Nicola Castaman
Stefano Ghidoni
51
32
0
06 May 2020
Generalized Planning With Deep Reinforcement Learning
Or Rivlin
Tamir Hazan
E. Karpas
OffRL
55
48
0
05 May 2020
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
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165
661
0
30 Apr 2020
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships
Yunlian Lv
Ning Xie
Yimin Shi
Zijiao Wang
Jikang Cheng
34
0
0
29 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
180
794
0
28 Apr 2020
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
106
365
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27 Apr 2020
Evolutionary Stochastic Policy Distillation
Hao Sun
Xinyu Pan
Bo Dai
Dahua Lin
Bolei Zhou
59
1
0
27 Apr 2020
Self-Paced Deep Reinforcement Learning
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
ODL
83
54
0
24 Apr 2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Giambattista Parascandolo
Lars Buesing
J. Merel
Leonard Hasenclever
John Aslanides
Jessica B. Hamrick
N. Heess
Alexander Neitz
T. Weber
60
31
0
23 Apr 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis
Minjian Xin
Dilip Arumugam
Kevin T. Feigelis
Daniel L. K. Yamins
36
6
0
22 Apr 2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
Keting Lu
Shiqi Zhang
Xiaoping Chen
OffRL
OnRL
44
3
0
22 Apr 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
Aditi Mavalankar
OffRL
59
7
0
17 Apr 2020
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
C. Bellinger
Rory Coles
Mark Crowley
Isaac Tamblyn
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21
2
0
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Learning visual policies for building 3D shape categories
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Cordelia Schmid
58
3
0
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Self Punishment and Reward Backfill for Deep Q-Learning
M. Bonyadi
Rui Wang
M. Ziaei
22
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0
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Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
91
26
0
06 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
95
20
0
29 Mar 2020
Neural Game Engine: Accurate learning of generalizable forward models from pixels
Chris Bamford
Simon Lucas
OCL
37
13
0
23 Mar 2020
Deep Sets for Generalization in RL
Tristan Karch
Cédric Colas
Laetitia Teodorescu
Clément Moulin-Frier
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51
6
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20 Mar 2020
Active Perception and Representation for Robotic Manipulation
Youssef Y. Zaky
Gaurav Paruthi
B. Tripp
James Bergstra
86
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15 Mar 2020
Sparse Graphical Memory for Robust Planning
Scott Emmons
Ajay Jain
Michael Laskin
Thanard Kurutach
Pieter Abbeel
Deepak Pathak
88
50
0
13 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
246
486
0
10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
117
176
0
10 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
102
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Dynamic Experience Replay
Jieliang Luo
Hui Li
215
24
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04 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions
Brijen Thananjeyan
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Ugo Rosolia
Joseph E. Gonzalez
Aaron D. Ames
Ken Goldberg
74
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03 Mar 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
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Thanard Kurutach
Christine Tung
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Aviv Tamar
87
48
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27 Feb 2020
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson
Or Avner
E. Groshev
Aviv Tamar
81
41
0
27 Feb 2020
Autonomous robotic nanofabrication with reinforcement learning
Philipp Leinen
Malte Esders
Kristof T. Schütt
C. Wagner
K. Müller
F. Tautz
39
55
0
27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen
Thanh Thi Nguyen
Hai V. Nguyen
Doug Creighton
S. Nahavandi
166
4
0
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Generalized Hindsight for Reinforcement Learning
Alexander C. Li
Lerrel Pinto
Pieter Abbeel
67
70
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Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh
Eric Jang
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Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
106
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0
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Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
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OffRL
73
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0
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Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
Yige Xu
Xipeng Qiu
L. Zhou
Xuanjing Huang
83
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Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Ashley D. Edwards
Himanshu Sahni
Rosanne Liu
Jane Hung
Ankit Jain
Rui Wang
Adrien Ecoffet
Thomas Miconi
Charles Isbell
J. Yosinski
OffRL
48
18
0
21 Feb 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
Cédric Colas
Tristan Karch
Nicolas Lair
Jean-Michel Dussoux
Clément Moulin-Frier
Peter Ford Dominey
Pierre-Yves Oudeyer
LM&Ro
LLMAG
LRM
73
124
0
21 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
Jiaxing Zhang
Hoang Tran
Guannan Zhang
68
9
0
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Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
95
174
0
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Value-driven Hindsight Modelling
A. Guez
Fabio Viola
T. Weber
Lars Buesing
Steven Kapturowski
Doina Precup
David Silver
N. Heess
OffRL
83
12
0
19 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
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Bhairav Mehta
Florian Golemo
Liam Paull
87
8
0
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Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker
Charles Isbell
OffRL
88
13
0
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Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning
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Lukás Jendele
Emre Aksan
Otmar Hilliges
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78
25
0
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On the Sensory Commutativity of Action Sequences for Embodied Agents
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
48
4
0
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XCS Classifier System with Experience Replay
Anthony Stein
Roland Maier
Lukas Rosenbauer
J. Hähner
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35
21
0
13 Feb 2020
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