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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
Re-assign community
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Papers citing
"Hindsight Experience Replay"
50 / 1,267 papers shown
Title
Self-supervised Visual Reinforcement Learning with Object-centric Representations
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A survey of benchmarking frameworks for reinforcement learning
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27 Nov 2020
Episodic Self-Imitation Learning with Hindsight
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Hengyan Liu
Anil Anthony Bharath
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26 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design
Bernardo Cortez
18
2
0
26 Nov 2020
World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang
Ge Yang
Bradly C. Stadie
DRL
83
74
0
25 Nov 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Panteha Naderian
Gabriel Loaiza-Ganem
H. Braviner
Anthony L. Caterini
Jesse C. Cresswell
Tong Li
Animesh Garg
80
1
0
24 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers
Guangming Wang
Minjian Xin
Wenhua Wu
Yanfeng Guo
Hesheng Wang
OffRL
35
19
0
24 Nov 2020
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Thomas Mesnard
T. Weber
Fabio Viola
S. Thakoor
Alaa Saade
...
A. Guez
Éric Moulines
Marcus Hutter
Lars Buesing
Rémi Munos
CML
OffRL
108
58
0
18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
85
71
0
17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay
Boyao Li
Tao Lu
Jiayi Li
N. Lu
Yinghao Cai
Shuo Wang
60
16
0
16 Nov 2020
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
75
8
0
16 Nov 2020
Robotic self-representation improves manipulation skills and transfer learning
Phuong D. H. Nguyen
Manfred Eppe
S. Wermter
SSL
34
1
0
13 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Yufei Wang
G. Narasimhan
Xingyu Lin
Brian Okorn
David Held
OffRL
LRM
78
14
0
13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
75
44
0
13 Nov 2020
Hierarchical reinforcement learning for efficient exploration and transfer
Lorenzo Steccanella
Simone Totaro
Damien Allonsius
Anders Jonsson
BDL
62
8
0
12 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSL
OffRL
58
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
64
15
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
31
4
0
11 Nov 2020
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes
Herman Yau
Chris Russell
Simon Hadfield
FAtt
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58
38
0
10 Nov 2020
Deep Reinforcement Learning for Navigation in AAA Video Games
Eloi Alonso
Maxim Peter
David Goumard
Joshua Romoff
59
37
0
09 Nov 2020
Adversarial Skill Learning for Robust Manipulation
Pingcheng Jian
Chao Yang
Di Guo
Huaping Liu
F. Sun
AAML
63
7
0
06 Nov 2020
Sample-efficient Reinforcement Learning in Robotic Table Tennis
Jonas Tebbe
Lukas Krauch
Yapeng Gao
A. Zell
74
34
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
46
9
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
Roland Hafner
Thomas Lampe
Martin Riedmiller
96
16
0
03 Nov 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction
Michael Janner
Igor Mordatch
Sergey Levine
AI4CE
79
35
0
27 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
90
25
0
22 Oct 2020
Proximal Policy Gradient: PPO with Policy Gradient
Ju-Seung Byun
Byungmoon Kim
Huamin Wang
OffRL
44
8
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
82
7
0
19 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
OffRL
AI4CE
122
56
0
19 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
Chenjia Bai
Peng Liu
Kaiyu Liu
Zhaoran Wang
Yingnan Zhao
Lingxiao Wang
SSL
62
18
0
17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
Siyu Dai
Wenyuan Xu
Andreas G. Hofmann
B. Williams
97
8
0
15 Oct 2020
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
Zhixin Chen
Mengxiang Lin
58
6
0
14 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Brian Ichter
P. Sermanet
Corey Lynch
92
38
0
13 Oct 2020
Hindsight Experience Replay with Kronecker Product Approximate Curvature
M. DhuruvaPriyanG
Abhik Singla
S. Bhatnagar
BDL
23
1
0
09 Oct 2020
Prioritized Level Replay
Minqi Jiang
Edward Grefenstette
Tim Rocktaschel
OffRL
128
160
0
08 Oct 2020
Proximal Policy Optimization with Relative Pearson Divergence
Taisuke Kobayashi
36
17
0
07 Oct 2020
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
117
66
0
07 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte
Toryn Q. Klassen
Richard Valenzano
Sheila A. McIlraith
OffRL
148
222
0
06 Oct 2020
Sentiment Analysis for Reinforcement Learning
Ameet Deshpande
Eve Fleisig
33
0
0
05 Oct 2020
Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
Andreas H. Christ
Franz Quint
AI4CE
55
0
0
05 Oct 2020
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games
Shengyi Huang
Santiago Ontañón
63
10
0
05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning
Oriol Corcoll
Raul Vicente
CML
79
9
0
03 Oct 2020
Correcting Experience Replay for Multi-Agent Communication
S. Ahilan
Peter Dayan
56
10
0
02 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLL
KELM
65
71
0
02 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
Lirui Wang
Yu Xiang
Wei Yang
Arsalan Mousavian
Dieter Fox
3DPC
98
47
0
02 Oct 2020
Evaluating a Generative Adversarial Framework for Information Retrieval
Ameet Deshpande
Mitesh M. Khapra
34
0
0
01 Oct 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy
Yunshu Du
Garrett A. Warnell
A. Gebremedhin
Peter Stone
Matthew E. Taylor
58
11
0
29 Sep 2020
Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models
Lei M. Zhang
Matthias Plappert
Wojciech Zaremba
60
4
0
27 Sep 2020
Is Q-Learning Provably Efficient? An Extended Analysis
Kushagra Rastogi
Jonathan Lee
Fabrice Harel-Canada
Aditya Sunil Joglekar
OffRL
26
1
0
22 Sep 2020
Learning Task-Agnostic Action Spaces for Movement Optimization
Amin Babadi
M. van de Panne
Caren Liu
Perttu Hämäläinen
46
2
0
22 Sep 2020
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