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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
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
375
625
0
04 Feb 2021
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Ambedkar Dukkipati
Rajarshi Banerjee
Ranga Shaarad Ayyagari
Dhaval Parmar Udaybhai
254
9
0
30 Jan 2021
Prior Preference Learning from Experts:Designing a Reward with Active Inference
Neurocomputing (Neurocomputing), 2021
Jinyoung Shin
Cheolhyeong Kim
H. Hwang
285
11
0
22 Jan 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
International Conference on Learning Representations (ICLR), 2021
Daochen Zha
Wenye Ma
Lei Yuan
Helen Zhou
Ji Liu
252
47
0
20 Jan 2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Haoyu Xiong
Quanzhou Li
Yun-Chun Chen
Homanga Bharadhwaj
Samarth Sinha
Animesh Garg
SSL
480
124
0
18 Jan 2021
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning
Heechang Ryu
Hayong Shin
Jinkyoo Park
143
7
0
18 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
Junya Ikemoto
T. Ushio
OffRL
161
5
0
13 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation
OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
...
Hyeonwoo Noh
Lilian Weng
Qiming Yuan
Casey Chu
Wojciech Zaremba
SSL
294
93
0
13 Jan 2021
Geometric Entropic Exploration
Z. Guo
M. G. Azar
Alaa Saade
S. Thakoor
Bilal Piot
Bernardo Avila-Pires
Michal Valko
Thomas Mesnard
Tor Lattimore
Rémi Munos
231
36
0
06 Jan 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Liwen Zhu
Peixi Peng
Zongqing Lu
Xiangqian Wang
Yonghong Tian
399
28
0
04 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances
International Conference on Learning Representations (ICLR), 2020
Stephen Tian
Suraj Nair
F. Ebert
Sudeep Dasari
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
364
66
0
30 Dec 2020
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
International Conference on Machine Learning (ICML), 2020
Susan Amin
Maziar Gomrokchi
Hossein Aboutalebi
Harsh Satija
Doina Precup
178
17
0
26 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives
Journal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
560
381
0
25 Dec 2020
Self-Imitation Advantage Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Johan Ferret
Olivier Pietquin
Matthieu Geist
254
21
0
22 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Journal of Artificial Intelligence Research (JAIR), 2020
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
867
121
0
17 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
International Conference on Learning Representations (ICLR), 2020
Qiang Zhang
Tete Xiao
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
208
71
0
17 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
206
43
0
15 Dec 2020
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Albert Zhan
Philip Zhao
Lerrel Pinto
Pieter Abbeel
Michael Laskin
SSL
DRL
212
27
0
14 Dec 2020
Active Hierarchical Imitation and Reinforcement Learning
Yaru Niu
Yijun Gu
229
1
0
14 Dec 2020
Neural Rate Control for Video Encoding using Imitation Learning
Hongzi Mao
Chenjie Gu
Miaosen Wang
Angie Chen
N. Lazić
...
Rene Claus
Marisabel Hechtman
Ching-Han Chiang
Cheng Chen
Jingning Han
161
6
0
09 Dec 2020
Planning from Pixels using Inverse Dynamics Models
International Conference on Learning Representations (ICLR), 2020
Keiran Paster
Sheila A. McIlraith
Jimmy Ba
BDL
177
43
0
04 Dec 2020
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates
Tatiana Lopez-Guevara
Michael G. Burke
Nick K. Taylor
Kartic Subr
OffRL
117
0
0
30 Nov 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations
International Conference on Learning Representations (ICLR), 2020
Antonios Tragoudaras
Maximilian Seitzer
Georg Martius
SSL
OCL
224
49
0
29 Nov 2020
A survey of benchmarking frameworks for reinforcement learning
South African Computer Journal (SACJ), 2020
B. Stapelberg
K. Malan
OffRL
145
3
0
27 Nov 2020
Episodic Self-Imitation Learning with Hindsight
Tianhong Dai
Hengyan Liu
Anil Anthony Bharath
154
11
0
26 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design
Bernardo Cortez
164
2
0
26 Nov 2020
World Model as a Graph: Learning Latent Landmarks for Planning
International Conference on Machine Learning (ICML), 2020
Lunjun Zhang
Ge Yang
Bradly C. Stadie
DRL
286
85
0
25 Nov 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
International Conference on Learning Representations (ICLR), 2020
Panteha Naderian
Gabriel Loaiza-Ganem
H. Braviner
M. Volkovs
Jesse C. Cresswell
Tong Li
Animesh Garg
289
1
0
24 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Guangming Wang
Minjian Xin
Wenhua Wu
Yanfeng Guo
Hesheng Wang
OffRL
135
27
0
24 Nov 2020
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Thomas Mesnard
T. Weber
Fabio Viola
S. Thakoor
Alaa Saade
...
A. Guez
Éric Moulines
Marcus Hutter
Lars Buesing
Rémi Munos
CML
OffRL
241
67
0
18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification
International Conference on Learning Representations (ICLR), 2020
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
302
87
0
17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay
IEEE International Conference on Robotics and Automation (ICRA), 2020
Boyao Li
Tao Lu
Jiayi Li
N. Lu
Yinghao Cai
Shuo Wang
145
21
0
16 Nov 2020
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
217
8
0
16 Nov 2020
Robotic self-representation improves manipulation skills and transfer learning
Phuong D. H. Nguyen
Manfred Eppe
S. Wermter
SSL
120
1
0
13 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Conference on Robot Learning (CoRL), 2020
Yufei Wang
G. Narasimhan
Xingyu Lin
Brian Okorn
David Held
OffRL
LRM
164
17
0
13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
Conference on Robot Learning (CoRL), 2020
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
149
49
0
13 Nov 2020
Hierarchical reinforcement learning for efficient exploration and transfer
Lorenzo Steccanella
Simone Totaro
Damien Allonsius
Anders Jonsson
BDL
145
9
0
12 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2020
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSL
OffRL
269
6
0
11 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
Pierre Aumjaud
David McAuliffe
Francisco J. Rodríguez-Lera
P. Cardiff
129
16
0
11 Nov 2020
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
Thilo Fryen
Manfred Eppe
Phuong D. H. Nguyen
Timo Gerkmann
S. Wermter
135
4
0
11 Nov 2020
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes
Herman Yau
Chris Russell
Simon Hadfield
FAtt
LRM
127
42
0
10 Nov 2020
Deep Reinforcement Learning for Navigation in AAA Video Games
Eloi Alonso
Maxim Peter
David Goumard
Joshua Romoff
280
47
0
09 Nov 2020
Adversarial Skill Learning for Robust Manipulation
Pingcheng Jian
Chao Yang
Di Guo
Huaping Liu
F. Sun
AAML
178
9
0
06 Nov 2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Jonas Tebbe
Lukas Krauch
Yapeng Gao
A. Zell
334
44
0
06 Nov 2020
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Shanqi Liu
Licheng Wen
Jinhao Cui
Xuemeng Yang
Junjie Cao
Yong Liu
143
11
0
04 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier
Arunkumar Byravan
Tim Hertweck
I. Higgins
Ankush Gupta
...
Malcolm Reynolds
Denis Teplyashin
Agrim Gupta
Thomas Lampe
Martin Riedmiller
321
19
0
03 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction
Michael Janner
Igor Mordatch
Sergey Levine
AI4CE
369
44
0
27 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
193
27
0
22 Oct 2020
Proximal Policy Gradient: PPO with Policy Gradient
Ju-Seung Byun
Byungmoon Kim
Huamin Wang
OffRL
123
11
0
20 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
Hongyao Tang
Zhaopeng Meng
Jianye Hao
Chong Chen
D. Graves
...
Hangyu Mao
Wulong Liu
Yaodong Yang
Wenyuan Tao
Li Wang
OffRL
267
6
0
19 Oct 2020
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