Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1707.01495
Cited By
v1
v2
v3 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Hindsight Experience Replay"
50 / 1,340 papers shown
Automatic Curriculum Learning For Deep RL: A Short Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
349
205
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
227
16
0
05 Mar 2020
Dynamic Experience Replay
Conference on Robot Learning (CoRL), 2020
Jieliang Luo
Hui Li
338
26
0
04 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions
Workshop on the Algorithmic Foundations of Robotics (WAFR), 2020
Brijen Thananjeyan
Ashwin Balakrishna
Ugo Rosolia
Joseph E. Gonzalez
Aaron D. Ames
Ken Goldberg
186
16
0
03 Mar 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
International Conference on Machine Learning (ICML), 2020
Kara Liu
Thanard Kurutach
Christine Tung
Pieter Abbeel
Aviv Tamar
171
49
0
27 Feb 2020
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Tom Jurgenson
Or Avner
E. Groshev
Aviv Tamar
287
48
0
27 Feb 2020
Autonomous robotic nanofabrication with reinforcement learning
Science Advances (Sci Adv), 2020
Philipp Leinen
Malte Esders
Kristof T. Schütt
C. Wagner
K. Müller
F. Tautz
124
63
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
352
3
0
27 Feb 2020
Generalized Hindsight for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Alexander C. Li
Lerrel Pinto
Pieter Abbeel
163
76
0
26 Feb 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
IEEE International Conference on Robotics and Automation (ICRA), 2020
Avi Singh
Eric Jang
A. Irpan
Daniel Kappler
Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
215
37
0
25 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Neural Information Processing Systems (NeurIPS), 2020
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
258
92
0
25 Feb 2020
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
Journal of Computational Science and Technology (JCST), 2020
Yige Xu
Xipeng Qiu
L. Zhou
Xuanjing Huang
151
73
0
24 Feb 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
International Conference on Machine Learning (ICML), 2020
Ashley D. Edwards
Himanshu Sahni
Rosanne Liu
Jane Hung
Ankit Jain
Rui Wang
Adrien Ecoffet
Thomas Miconi
Charles Isbell
J. Yosinski
OffRL
184
20
0
21 Feb 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
Neural Information Processing Systems (NeurIPS), 2020
Cédric Colas
Tristan Karch
Nicolas Lair
Jean-Michel Dussoux
Clément Moulin-Frier
Peter Ford Dominey
Pierre-Yves Oudeyer
LM&Ro
LLMAG
LRM
258
134
0
21 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
Electronic Research Archive (ERA), 2020
Jiaxing Zhang
Hoang Tran
Guannan Zhang
132
12
0
21 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort
Conference on Robot Learning (CoRL), 2020
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
384
201
0
20 Feb 2020
Value-driven Hindsight Modelling
Neural Information Processing Systems (NeurIPS), 2020
A. Guez
Fabio Viola
T. Weber
Lars Buesing
Steven Kapturowski
Doina Precup
David Silver
N. Heess
OffRL
172
12
0
19 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
Sharath Chandra Raparthy
Bhairav Mehta
Florian Golemo
Liam Paull
198
8
0
18 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker
Charles Isbell
OffRL
183
13
0
15 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning
IEEE Robotics and Automation Letters (RA-L), 2020
Sammy Christen
Lukás Jendele
Emre Aksan
Otmar Hilliges
OffRL
206
29
0
14 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
185
4
0
13 Feb 2020
XCS Classifier System with Experience Replay
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Anthony Stein
Roland Maier
Lukas Rosenbauer
J. Hähner
BDL
73
25
0
13 Feb 2020
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning
Caterina Neef
Dario Luipers
J. Bollenbacher
Christian Gebel
A. Richert
103
4
0
11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
International Conference on Machine Learning (ICML), 2020
Victor Campos
Alexander R. Trott
Caiming Xiong
R. Socher
Xavier Giró-i-Nieto
Jordi Torres
OffRL
483
168
0
10 Feb 2020
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Vincent Micheli
Karthigan Sinnathamby
Franccois Fleuret
256
2
0
08 Feb 2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Sha Luo
Hamidreza Kasaei
Lambert Schomaker
CLL
193
58
0
07 Feb 2020
Soft Hindsight Experience Replay
Qiwei He
Liansheng Zhuang
Houqiang Li
164
13
0
06 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning
Rui Zhao
Yang Gao
Pieter Abbeel
Volker Tresp
Wenyuan Xu
SSL
164
4
0
05 Feb 2020
Bootstrapping a DQN Replay Memory with Synthetic Experiences
International Joint Conference on Computational Intelligence (IJCCI), 2020
Wenzel Pilar von Pilchau
Anthony Stein
J. Hähner
OffRL
103
10
0
04 Feb 2020
Q-Learning in enormous action spaces via amortized approximate maximization
T. Wiele
David Warde-Farley
A. Mnih
Volodymyr Mnih
134
63
0
22 Jan 2020
A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions
A. Mondal
OffRL
123
9
0
19 Jan 2020
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods
Juan Vargas
L. Andjelic
A. Farimani
144
1
0
18 Jan 2020
Multi-Robot Formation Control Using Reinforcement Learning
Abhay Rawat
K. Karlapalem
68
5
0
13 Jan 2020
Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback
Binyamin Manela
114
0
0
12 Jan 2020
Reward Engineering for Object Pick and Place Training
Raghav Nagpal
Achyuthan Unni Krishnan
Hanshen Yu
37
8
0
11 Jan 2020
A Boolean Task Algebra for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Geraud Nangue Tasse
Steven D. James
Benjamin Rosman
383
63
0
06 Jan 2020
Universal Successor Features for Transfer Reinforcement Learning
Chen Ma
Dylan R. Ashley
Junfeng Wen
Yoshua Bengio
OffRL
95
28
0
05 Jan 2020
Reinforcement Learning with Goal-Distance Gradient
Kai Jiang
X. Qin
103
0
0
01 Jan 2020
Reward-Conditioned Policies
Aviral Kumar
Xue Bin Peng
Sergey Levine
220
103
0
31 Dec 2019
Intrinsic motivations and open-ended learning
Gianluca Baldassarre
AI4CE
151
8
0
31 Dec 2019
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2019
R. Li
Allan Jabri
Trevor Darrell
Pulkit Agrawal
OffRL
142
118
0
23 Dec 2019
Questions to Guide the Future of Artificial Intelligence Research
J. Ott
161
3
0
21 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards
Xingyu Lu
Stas Tiomkin
Pieter Abbeel
OffRL
187
6
0
21 Dec 2019
Uncertainty-sensitive Learning and Planning with Ensembles
Piotr Milo's
Lukasz Kuciñski
K. Czechowski
Piotr Kozakowski
Maciek Klimek
OffRL
276
8
0
19 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai
Kai Arulkumaran
Tamara Gerbert
Samyakh Tukra
Feryal M. P. Behbahani
Anil Anthony Bharath
259
31
0
18 Dec 2019
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
235
8
0
17 Dec 2019
To Follow or not to Follow: Selective Imitation Learning from Observations
Conference on Robot Learning (CoRL), 2019
Youngwoon Lee
E. Hu
Zhengyu Yang
Joseph J. Lim
136
17
0
16 Dec 2019
Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh
Abhishek Gupta
Ashwin Reddy
Justin Fu
Coline Devin
Benjamin Eysenbach
Sergey Levine
350
37
0
12 Dec 2019
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019
Tianying Wang
Hao Zhang
Wei Qi Toh
Erik Cambria
Cheston Tan
Yan Wu
Yong Liu
Wei Jing
120
6
0
11 Dec 2019
How Does an Approximate Model Help in Reinforcement Learning?
Fei Feng
W. Yin
Lin F. Yang
168
7
0
06 Dec 2019
Previous
1
2
3
...
21
22
23
...
25
26
27
Next
Page 22 of 27
Page
of 27
Go
