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Hindsight Experience Replay
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Hindsight Experience Replay"

50 / 1,267 papers shown
Title
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSLOCL
75
42
0
29 Nov 2020
A survey of benchmarking frameworks for reinforcement learning
A survey of benchmarking frameworks for reinforcement learning
B. Stapelberg
K. Malan
OffRL
44
3
0
27 Nov 2020
Episodic Self-Imitation Learning with Hindsight
Episodic Self-Imitation Learning with Hindsight
Tianhong Dai
Hengyan Liu
Anil Anthony Bharath
30
11
0
26 Nov 2020
Reinforcement Learning for Robust Missile Autopilot Design
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
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
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
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
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
CMLOffRL
108
58
0
18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification
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
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
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
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
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Yufei Wang
G. Narasimhan
Xingyu Lin
Brian Okorn
David Held
OffRLLRM
78
14
0
13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
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
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
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSLOffRL
58
6
0
11 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic
  Reaching Tasks
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
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
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes
Herman Yau
Chris Russell
Simon Hadfield
FAttLRM
58
38
0
10 Nov 2020
Deep Reinforcement Learning for Navigation in AAA Video Games
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
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
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
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
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
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
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
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
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
D2RL: Deep Dense Architectures in Reinforcement Learning
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
OffRLAI4CE
122
56
0
19 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep
  Reinforcement Learning
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
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
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
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
Hindsight Experience Replay with Kronecker Product Approximate Curvature
M. DhuruvaPriyanG
Abhik Singla
S. Bhatnagar
BDL
23
1
0
09 Oct 2020
Prioritized Level Replay
Prioritized Level Replay
Minqi Jiang
Edward Grefenstette
Tim Rocktaschel
OffRL
128
160
0
08 Oct 2020
Proximal Policy Optimization with Relative Pearson Divergence
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
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
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
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)
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
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
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
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
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLLKELM
65
71
0
02 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
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
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
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
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
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
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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