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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
Mapping State Space using Landmarks for Universal Goal Reaching
Neural Information Processing Systems (NeurIPS), 2019
Zhiao Huang
Fangchen Liu
Hao Su
191
77
0
15 Aug 2019
A review on Deep Reinforcement Learning for Fluid Mechanics
Computers & Fluids (Comput. Fluids), 2019
Paul Garnier
J. Viquerat
Jean Rabault
A. Larcher
A. Kuhnle
E. Hachem
AI4CE
296
290
0
12 Aug 2019
Developing a Simple Model for Sand-Tool Interaction and Autonomously Shaping Sand
Wooshik Kim
Catherine Pavlov
Aaron M. Johnson
70
8
0
07 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Josef Sivic
Cordelia Schmid
217
4
0
02 Aug 2019
Hindsight Trust Region Policy Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Hanbo Zhang
Site Bai
Xuguang Lan
David Hsu
Nanning Zheng
301
10
0
29 Jul 2019
Learning to Solve a Rubik's Cube with a Dexterous Hand
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019
Tingguang Li
Weitao Xi
Meng Fang
Jia Xu
Max Meng
149
14
0
26 Jul 2019
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
Yijie Guo
Jongwook Choi
Marcin Moczulski
Shengyu Feng
Samy Bengio
Mohammad Norouzi
Honglak Lee
208
10
0
24 Jul 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery
International Conference on Learning Representations (ICLR), 2019
Kristian Hartikainen
Xinyang Geng
Tuomas Haarnoja
Sergey Levine
SSL
373
92
0
18 Jul 2019
Composing Diverse Policies for Temporally Extended Tasks
IEEE Robotics and Automation Letters (RA-L), 2019
Daniel Angelov
Yordan V. Hristov
Michael G. Burke
S. Ramamoorthy
259
18
0
18 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
Johan Ferret
Raphaël Marinier
Matthieu Geist
Olivier Pietquin
OffRL
191
6
0
18 Jul 2019
Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation
International Conference on Control, Automation and Systems (ICCAS), 2019
Xiaowei Xing
D. Chang
105
7
0
16 Jul 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
International Conference on Learning Representations (ICLR), 2019
Yuping Luo
Huazhe Xu
Tengyu Ma
SSL
231
13
0
12 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
167
65
0
11 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Fabio Muratore
Michael Gienger
Jan Peters
187
72
0
10 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Journal of machine learning research (JMLR), 2019
Oliver Kroemer
S. Niekum
George Konidaris
399
445
0
06 Jul 2019
Learning a Behavioral Repertoire from Demonstrations
Niels Justesen
Miguel González Duque
Daniel Cabarcas Jaramillo
Jean-Baptiste Mouret
S. Risi
OffRL
139
2
0
05 Jul 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
Srinivas Venkattaramanujam
Eric Crawford
T. Doan
Doina Precup
OffRL
SSL
151
30
0
05 Jul 2019
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
International Conference on Learning Representations (ICLR), 2019
Leshem Choshen
Lior Fox
Zohar Aizenbud
Omri Abend
457
119
0
03 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills
International Conference on Learning Representations (ICLR), 2019
Archit Sharma
S. Gu
Sergey Levine
Vikash Kumar
Karol Hausman
355
454
0
02 Jul 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Natasha Jaques
Asma Ghandeharioun
J. Shen
Craig Ferguson
Àgata Lapedriza
Noah J. Jones
S. Gu
Rosalind W. Picard
OffRL
461
375
0
30 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Agrim Gupta
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
233
28
0
26 Jun 2019
Proximal Distilled Evolutionary Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Cristian Bodnar
Ben Day
Pietro Lio
233
94
0
24 Jun 2019
Neural networks with motivation
Frontiers in Systems Neuroscience (Front. Syst. Neurosci.), 2019
Sergey A. Shuvaev
Ngoc B. Tran
Marcus Stephenson-Jones
Yue Liu
A. Koulakov
65
10
0
23 Jun 2019
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Neural Information Processing Systems (NeurIPS), 2019
Ravichandra Addanki
S. Venkatakrishnan
Shreyan Gupta
Hongzi Mao
Mohammad Alizadeh
OOD
OffRL
175
71
0
20 Jun 2019
Experience Replay Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Helen Zhou
OffRL
143
116
0
19 Jun 2019
Reward Prediction Error as an Exploration Objective in Deep RL
Riley Simmons-Edler
Ben Eisner
Daniel Yang
Anthony Bisulco
E. Mitchell
Sebastian Seung
Daniel D. Lee
232
5
0
19 Jun 2019
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study
Cam Linke
Nadia M. Ady
Martha White
T. Degris
Adam White
337
16
0
19 Jun 2019
Directed Exploration for Reinforcement Learning
Z. Guo
Emma Brunskill
118
15
0
18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2019
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
255
238
0
18 Jun 2019
LPaintB: Learning to Paint from Self-Supervision
Pacific Conference on Computer Graphics and Applications (PG), 2019
Biao Jia
Jonathan Brandt
R. Měch
Byungmoon Kim
Tianyi Zhou
SSL
123
12
0
17 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Gerrit Schoettler
Ashvin Nair
Jianlan Luo
Shikhar Bahl
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
166
209
0
13 Jun 2019
Goal-conditioned Imitation Learning
Neural Information Processing Systems (NeurIPS), 2019
Yiming Ding
Carlos Florensa
Mariano Phielipp
Pieter Abbeel
404
258
0
13 Jun 2019
Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization
Tom Jurgenson
E. Groshev
Aviv Tamar
108
7
0
12 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2019
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
257
330
0
12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Natalia Díaz Rodríguez
David Filliat
CLL
OffRL
249
47
0
11 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model
Shagun Sodhani
Anirudh Goyal
T. Deleu
Yoshua Bengio
Sergey Levine
Jian Tang
OffRL
96
5
0
11 Jun 2019
Exploration via Hindsight Goal Generation
Neural Information Processing Systems (NeurIPS), 2019
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
328
100
0
10 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
Che Wang
George Andriopoulos
105
52
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Alexander Shmakov
Pierre Baldi
OffRL
174
26
0
09 Jun 2019
An Extensible Interactive Interface for Agent Design
Matthew Rahtz
James Fang
Anca Dragan
Dylan Hadfield-Menell
261
1
0
06 Jun 2019
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators
F. Ramos
Rafael Possas
Dieter Fox
207
172
0
04 Jun 2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL
A. Vezhnevets
Yuhuai Wu
Rémi Leblond
Joel Z Leibo
AI4CE
220
18
0
04 Jun 2019
Harnessing Reinforcement Learning for Neural Motion Planning
Tom Jurgenson
Aviv Tamar
OOD
263
67
0
01 Jun 2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning
Yang Liu
Yunan Luo
Yuanyi Zhong
Xi Chen
Qiang Liu
Jian-wei Peng
182
40
0
31 May 2019
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
Brijen Thananjeyan
Ashwin Balakrishna
Ugo Rosolia
Felix Li
R. McAllister
Joseph E. Gonzalez
Sergey Levine
Francesco Borrelli
Ken Goldberg
OffRL
351
4
0
31 May 2019
Towards Finding Longer Proofs
International Conference on Theorem Proving with Analytic Tableaux and Related Methods (TABLEAUX), 2019
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRL
LRM
256
18
0
30 May 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Caleb Chuck
Supawit Chockchowwat
S. Niekum
182
14
0
27 May 2019
Machine Learning for Fluid Mechanics
Annual Review of Fluid Mechanics (ARFM), 2019
Steven Brunton
B. R. Noack
Petros Koumoutsakos
AI4CE
PINN
255
2,475
0
27 May 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving
Frontiers in Robotics and AI (Front. Robot. AI), 2019
Manfred Eppe
Phuong D. H. Nguyen
S. Wermter
164
43
0
23 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
Rui Zhao
Xudong Sun
Volker Tresp
269
92
0
21 May 2019
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