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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 / 1,339 papers shown
Reinforcement Learning without Ground-Truth State
Xingyu Lin
H. Baweja
David Held
OffRL
SSL
263
26
0
20 May 2019
Evolving Rewards to Automate Reinforcement Learning
Aleksandra Faust
Anthony G. Francis
Dar Mehta
215
52
0
18 May 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Manan Tomar
Akhil Sathuluri
Balaraman Ravindran
127
4
0
17 May 2019
Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization
Binyamin Manela
Armin Biess
198
24
0
14 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2019
Muhammad Burhan Hafez
C. Weber
Matthias Kerzel
S. Wermter
126
11
0
05 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design
Zach Dwiel
Madhavun Candadai
Mariano Phielipp
Arjun K. Bansal
230
15
0
04 May 2019
Collaborative Evolutionary Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
Shauharda Khadka
Somdeb Majumdar
Tarek Nassar
Zach Dwiel
E. Tumer
Santiago Miret
Yinyin Liu
Kagan Tumer
192
118
0
02 May 2019
Generative Exploration and Exploitation
Jiechuan Jiang
Zongqing Lu
123
6
0
21 Apr 2019
Learning Manipulation Skills Via Hierarchical Spatial Attention
Marcus Gualtieri
Robert Platt
220
15
0
19 Apr 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Felipe Codevilla
Eder Santana
Antonio M. López
Adrien Gaidon
255
623
0
18 Apr 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation
Benjamin Beyret
A. Shafti
A. Faisal
301
82
0
14 Apr 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Riley Simmons-Edler
Ben Eisner
E. Mitchell
Sebastian Seung
Daniel D. Lee
183
34
0
25 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors
Fang-I Hsiao
Jui-Hsuan Kuo
Min Sun
OffRL
94
16
0
25 Mar 2019
Hindsight Generative Adversarial Imitation Learning
N. Liu
Tao Lu
Yinghao Cai
Boyao Li
Shuo Wang
181
6
0
19 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
497
298
0
08 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Florian Richter
Ryan K. Orosco
Michael C. Yip
OffRL
147
87
0
05 Mar 2019
Learning Latent Plans from Play
Conference on Robot Learning (CoRL), 2019
Corey Lynch
Mohi Khansari
Ted Xiao
Vikash Kumar
Jonathan Tompson
Sergey Levine
P. Sermanet
SSL
LM&Ro
283
461
0
05 Mar 2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
Zhizheng Zhang
Jiale Chen
Zhibo Chen
Weiping Li
OffRL
155
69
0
03 Mar 2019
Distributionally Robust Reinforcement Learning
E. Smirnova
Elvis Dohmatob
Jérémie Mary
OffRL
245
66
0
23 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
371
59
0
20 Feb 2019
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization
Adarsh Sehgal
Hung M. La
S. Louis
Hai V. Nguyen
GP
158
100
0
19 Feb 2019
Unsupervised Visuomotor Control through Distributional Planning Networks
Tianhe Yu
Gleb Shevchuk
Dorsa Sadigh
Chelsea Finn
SSL
OffRL
154
42
0
14 Feb 2019
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup
Devin Schwab
Tobias Springenberg
M. Martins
Thomas Lampe
Michael Neunert
A. Abdolmaleki
Tim Hertweck
Agrim Gupta
F. Nori
Martin Riedmiller
168
22
0
13 Feb 2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
Harris Chan
Yuhuai Wu
J. Kiros
Sanja Fidler
Jimmy Ba
199
34
0
12 Feb 2019
Preferences Implicit in the State of the World
International Conference on Learning Representations (ICLR), 2019
Rohin Shah
Dmitrii Krasheninnikov
Jordan Alexander
Pieter Abbeel
Anca Dragan
270
57
0
12 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions
L. Kidzinski
Carmichael F. Ong
Sharada Mohanty
Jennifer Hicks
Sean F. Carroll
...
E. Tumer
J. Watson
M. Salathé
Sergey Levine
Scott L. Delp
118
49
0
07 Feb 2019
Competitive Experience Replay
International Conference on Learning Representations (ICLR), 2019
Hao Liu
Alexander R. Trott
R. Socher
Caiming Xiong
OffRL
306
59
0
01 Feb 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2019
Marc G. Bellemare
Will Dabney
Robert Dadashi
Adrien Ali Taïga
Pablo Samuel Castro
Nicolas Le Roux
Dale Schuurmans
Tor Lattimore
Clare Lyle
194
94
0
31 Jan 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
Neural Information Processing Systems (NeurIPS), 2019
Himanshu Sahni
Toby Buckley
Pieter Abbeel
Ilya Kuzovkin
236
10
0
31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
AI4TS
617
415
0
30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments
Pierre Fournier
Olivier Sigaud
Cédric Colas
Mohamed Chetouani
OffRL
270
27
0
28 Jan 2019
Modularization of End-to-End Learning: Case Study in Arcade Games
Andrew Melnik
Sascha Fleer
M. Schilling
Helge J. Ritter
OffRL
128
12
0
27 Jan 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Ying Wen
Yaodong Yang
Rui Luo
Jun Wang
Wei Pan
LRM
278
162
0
26 Jan 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
Antonin Raffin
Ashley Hill
Kalifou René Traoré
Timothée Lesort
Natalia Díaz Rodríguez
David Filliat
SSL
OffRL
243
62
0
24 Jan 2019
Ablation Studies in Artificial Neural Networks
Richard Meyes
Melanie Lu
Constantin Waubert de Puiseau
Tobias Meisen
204
267
0
24 Jan 2019
Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning
Joshua A. Haustein
Isac Arnekvist
J. A. Stork
Kaiyu Hang
Danica Kragic
118
11
0
11 Jan 2019
Motion Perception in Reinforcement Learning with Dynamic Objects
Artemij Amiranashvili
Alexey Dosovitskiy
V. Koltun
Thomas Brox
186
36
0
10 Jan 2019
Self-supervised Learning of Image Embedding for Continuous Control
Carlos Florensa
Jonas Degrave
N. Heess
Jost Tobias Springenberg
Martin Riedmiller
SSL
155
55
0
03 Jan 2019
A Theoretical Analysis of Deep Q-Learning
Jianqing Fan
Zhuoran Yang
Yuchen Xie
Zhaoran Wang
601
711
0
01 Jan 2019
Universal Successor Features Approximators
Diana Borsa
André Barreto
John Quan
D. Mankowitz
Rémi Munos
H. V. Hasselt
David Silver
Tom Schaul
330
124
0
18 Dec 2018
Residual Policy Learning
Tom Silver
Kelsey R. Allen
J. Tenenbaum
L. Kaelbling
OffRL
469
199
0
15 Dec 2018
Scene Recomposition by Learning-based ICP
Hamid Izadinia
S. M. Seitz
3DV
3DPC
180
14
0
13 Dec 2018
Composing Entropic Policies using Divergence Correction
Jonathan J. Hunt
André Barreto
Timothy Lillicrap
N. Heess
100
2
0
05 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
144
24
0
03 Dec 2018
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning
Yixiu Zhao
Ziyin Liu
LRM
66
0
0
30 Nov 2018
Modulated Policy Hierarchies
Alexander Pashevich
Danijar Hafner
James Davidson
Rahul Sukthankar
Cordelia Schmid
91
6
0
30 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
DRL
OffRL
SSL
244
187
0
28 Nov 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
252
8
0
26 Nov 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Neural Information Processing Systems (NeurIPS), 2018
Tao Chen
Adithyavairavan Murali
Abhinav Gupta
235
116
0
24 Nov 2018
Model Learning for Look-ahead Exploration in Continuous Control
AAAI Conference on Artificial Intelligence (AAAI), 2018
Arpit Agarwal
Katharina Muelling
Katerina Fragkiadaki
139
9
0
20 Nov 2018
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