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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
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Papers citing
"Hindsight Experience Replay"
50 / 1,340 papers shown
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Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
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Zhaoran Wang
Yingnan Zhao
Lingxiao Wang
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244
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17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
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Wenyuan Xu
Andreas G. Hofmann
B. Williams
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Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
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262
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14 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
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P. Sermanet
Corey Lynch
209
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13 Oct 2020
Hindsight Experience Replay with Kronecker Product Approximate Curvature
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S. Bhatnagar
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09 Oct 2020
Prioritized Level Replay
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Edward Grefenstette
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Proximal Policy Optimization with Relative Pearson Divergence
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199
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Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee
Daniel Ward
Akansel Cosgun
Vibhavari Dasagi
Peter Corke
Jurgen Leitner
SSL
226
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07 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Journal of Artificial Intelligence Research (JAIR), 2020
Rodrigo Toro Icarte
Toryn Q. Klassen
Richard Valenzano
Sheila A. McIlraith
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06 Oct 2020
Sentiment Analysis for Reinforcement Learning
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Eve Fleisig
128
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05 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
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Franz Quint
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169
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Santiago Ontañón
188
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Correcting Experience Replay for Multi-Agent Communication
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S. Ahilan
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152
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02 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
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Liangwei Chen
Mengjie Zhao
Shiyu Huang
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204
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02 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
Conference on Robot Learning (CoRL), 2020
Lirui Wang
Yu Xiang
Wei Yang
Arsalan Mousavian
Dieter Fox
3DPC
488
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02 Oct 2020
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Mitesh M. Khapra
109
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01 Oct 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy
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Garrett A. Warnell
A. Gebremedhin
Peter Stone
Matthew E. Taylor
221
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29 Sep 2020
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models
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Matthias Plappert
Wojciech Zaremba
113
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27 Sep 2020
Is Q-Learning Provably Efficient? An Extended Analysis
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75
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22 Sep 2020
Learning Task-Agnostic Action Spaces for Movement Optimization
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Amin Babadi
M. van de Panne
Caren Liu
Perttu Hämäläinen
205
3
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22 Sep 2020
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
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Anirudh Vemula
J. Andrew Bagnell
Maxim Likhachev
325
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21 Sep 2020
Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization
Journal of Intelligent Manufacturing (J Intell Manuf), 2020
Johannes Dornheim
L. Morand
Samuel Zeitvogel
Tarek Iraki
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Dirk Helm
159
22
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21 Sep 2020
Efficient Reinforcement Learning Development with RLzoo
ACM Multimedia (ACM MM), 2020
Zihan Ding
Tianyang Yu
Yanhua Huang
Hongming Zhang
Guo Li
Quancheng Guo
Kai Zou
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204
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A Hybrid PAC Reinforcement Learning Algorithm
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142
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05 Sep 2020
Multi-Loss Weighting with Coefficient of Variations
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
R. Groenendijk
Sezer Karaoglu
Theo Gevers
Thomas Mensink
371
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03 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
Vinicius G. Goecks
252
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30 Aug 2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
Trevor A. McInroe
126
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28 Aug 2020
Learning Obstacle Representations for Neural Motion Planning
Conference on Robot Learning (CoRL), 2020
Robin Strudel
Ricardo Garcia Pinel
Justin Carpentier
J. Laumond
Ivan Laptev
Cordelia Schmid
SSL
294
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25 Aug 2020
t-Soft Update of Target Network for Deep Reinforcement Learning
Neural Networks (NN), 2020
Taisuke Kobayashi
Wendyam Eric Lionel Ilboudo
289
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25 Aug 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks
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119
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DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
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T. Han
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114
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Inverse Reinforcement Learning with Natural Language Goals
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Kevin Small
376
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16 Aug 2020
Explainability in Deep Reinforcement Learning
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Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Engineering applications of artificial intelligence (EAAI), 2020
Phillip Swazinna
Steffen Udluft
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REMAX: Relational Representation for Multi-Agent Exploration
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Heechang Ryu
Hayong Shin
Jinkyoo Park
176
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GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning
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Grgur Kovač
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Pierre-Yves Oudeyer
250
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0
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Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
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Tiancheng Huang
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198
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0
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Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
IEEE Robotics and Automation Letters (RA-L), 2020
Alex Church
John Lloyd
R. Hadsell
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146
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0
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Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
Ozsel Kilinc
Giovanni Montana
136
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Data-efficient Hindsight Off-policy Option Learning
International Conference on Machine Learning (ICML), 2020
Markus Wulfmeier
Dushyant Rao
Agrim Gupta
Thomas Lampe
A. Abdolmaleki
...
Michael Neunert
Dhruva Tirumala
Noah Y. Siegel
N. Heess
Martin Riedmiller
OffRL
218
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30 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhenshan Bing
Matthias Brucker
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
179
34
0
27 Jul 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Lin Cong
Michael Görner
Philipp Ruppel
Hongzhuo Liang
Norman Hendrich
Jianwei Zhang
249
15
0
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Learning Compositional Neural Programs for Continuous Control
Thomas Pierrot
Nicolas Perrin
Feryal M. P. Behbahani
Alexandre Laterre
Olivier Sigaud
Karim Beguir
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270
4
0
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ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
ACM Conference on Recommender Systems (RecSys), 2020
Fei Mi
Xiao Lin
Boi Faltings
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240
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0
23 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Yangchen Pan
Jincheng Mei
Amir-massoud Farahmand
Martha White
Hengshuai Yao
Mohsen Rohani
Jun Luo
399
18
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Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
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Kota Uenishi
Avinash Ummadisingu
P. Nagarajan
Shimpei Masuda
M. Castro
269
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Goal-Aware Prediction: Learning to Model What Matters
International Conference on Machine Learning (ICML), 2020
Suraj Nair
Silvio Savarese
Chelsea Finn
201
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A Provably Efficient Sample Collection Strategy for Reinforcement Learning
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Jean Tarbouriech
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Michal Valko
A. Lazaric
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258
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13 Jul 2020
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