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Hindsight Experience Replay

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 / 1,245 papers shown
Title
On Divergence Measures for Bayesian Pseudocoresets
On Divergence Measures for Bayesian Pseudocoresets
Balhae Kim
J. Choi
Seanie Lee
Yoonho Lee
Jung-Woo Ha
Juho Lee
DD
21
11
0
12 Oct 2022
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based
  In-Hand Manipulation
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
Lingfeng Tao
Jiucai Zhang
Michael Bowman
Xiaoli Zhang
46
5
0
11 Oct 2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a
  Handful of Trials
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar
Anika Singh
F. Ebert
Mitsuhiko Nakamoto
Yanlai Yang
Chelsea Finn
Sergey Levine
OffRL
OnRL
131
66
0
11 Oct 2022
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical
  Reinforcement Learning
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Seungjae Lee
Jigang Kim
Inkyu Jang
H. J. Kim
OffRL
35
10
0
11 Oct 2022
The Role of Exploration for Task Transfer in Reinforcement Learning
The Role of Exploration for Task Transfer in Reinforcement Learning
Jonathan C. Balloch
Julia Kim
Jessica B. Langebrake Inman
Mark O. Riedl
OffRL
36
3
0
11 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R Sanketi
Corey Lynch
59
21
0
07 Oct 2022
Query The Agent: Improving sample efficiency through epistemic
  uncertainty estimation
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio
Boris Katz
Andrei Barbu
42
0
0
05 Oct 2022
Neuro-Planner: A 3D Visual Navigation Method for MAV with Depth Camera
  based on Neuromorphic Reinforcement Learning
Neuro-Planner: A 3D Visual Navigation Method for MAV with Depth Camera based on Neuromorphic Reinforcement Learning
Junjie Jiang
Delei Kong
Kuanxu Hou
Xinjie Huang
Zhuang Hao
Zheng Fang
37
9
0
05 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Daochen Zha
Louis Feng
Qiaoyu Tan
Zirui Liu
Kwei-Herng Lai
Bhargav Bhushanam
Yuandong Tian
A. Kejariwal
Xia Hu
LMTD
OffRL
33
28
0
05 Oct 2022
Grounding Language with Visual Affordances over Unstructured Data
Grounding Language with Visual Affordances over Unstructured Data
Oier Mees
Jessica Borja-Diaz
Wolfram Burgard
LM&Ro
121
109
0
04 Oct 2022
Predictive Event Segmentation and Representation with Neural Networks: A
  Self-Supervised Model Assessed by Psychological Experiments
Predictive Event Segmentation and Representation with Neural Networks: A Self-Supervised Model Assessed by Psychological Experiments
Hamit Basgol
I. Ayhan
Emre Ugur
58
1
0
04 Oct 2022
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive
  Control
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Dawood
Nils Dengler
Jorge de Heuvel
Maren Bennewitz
31
9
0
04 Oct 2022
Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy
Prithviraj Ammanabrolu
Kianté Brantley
Jack Hessel
R. Sifa
Christian Bauckhage
Hannaneh Hajishirzi
Yejin Choi
OffRL
35
240
0
03 Oct 2022
Hierarchical reinforcement learning for in-hand robotic manipulation
  using Davenport chained rotations
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations
Francisco Roldan Sanchez
Qiang-qiang Wang
David Córdova Bulens
Kevin McGuinness
Stephen J. Redmond
Noel E. O'Connor
23
1
0
03 Oct 2022
Efficiently Learning Small Policies for Locomotion and Manipulation
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde
Gaurav Sukhatme
40
3
0
30 Sep 2022
Multi-Task Option Learning and Discovery for Stochastic Path Planning
Multi-Task Option Learning and Discovery for Stochastic Path Planning
Naman Shah
Siddharth Srivastava
26
2
0
30 Sep 2022
VIP: Towards Universal Visual Reward and Representation via
  Value-Implicit Pre-Training
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma
Shagun Sodhani
Dinesh Jayaraman
Osbert Bastani
Vikash Kumar
Amy Zhang
SSL
OffRL
38
289
0
30 Sep 2022
Does Zero-Shot Reinforcement Learning Exist?
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati
Jérémy Rapin
Yann Ollivier
OffRL
42
39
0
29 Sep 2022
Accelerating Laboratory Automation Through Robot Skill Learning For
  Sample Scraping
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping
Gabriella Pizzuto
Hetong Wang
Hatem Fakhruldeen
Bei Peng
K. Luck
Andrew I. Cooper
30
2
0
29 Sep 2022
Understanding Hindsight Goal Relabeling from a Divergence Minimization
  Perspective
Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective
Lunjun Zhang
Bradly C. Stadie
22
1
0
26 Sep 2022
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned
  Reinforcement Learning
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning
Hugo Caselles-Dupré
Olivier Sigaud
Mohamed Chetouani
27
2
0
26 Sep 2022
Quantification before Selection: Active Dynamics Preference for Robust
  Reinforcement Learning
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
Kang Xu
Yan Ma
Wei Li
48
0
0
23 Sep 2022
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep
  Reinforcement Learning
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George
Alison Bartsch
A. Farimani
OffRL
24
5
0
22 Sep 2022
Goal-Aware Generative Adversarial Imitation Learning from Imperfect
  Demonstration for Robotic Cloth Manipulation
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation
Yoshihisa Tsurumine
Takamitsu Matsubara
40
13
0
21 Sep 2022
Active Predicting Coding: Brain-Inspired Reinforcement Learning for
  Sparse Reward Robotic Control Problems
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia
A. Mali
40
7
0
19 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
51
81
0
19 Sep 2022
Towards advanced robotic manipulation
Towards advanced robotic manipulation
Francisco Roldan Sanchez
Stephen J. Redmond
Kevin McGuinness
Noel E. O'Connor
30
1
0
19 Sep 2022
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
45
35
0
19 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Yue Liu
Ding Zhao
79
45
0
16 Sep 2022
Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES
Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES
Nat Wannawas
A. Shafti
Aldo A. Faisal
OffRL
21
9
0
16 Sep 2022
Human-level Atari 200x faster
Human-level Atari 200x faster
Steven Kapturowski
Victor Campos
Ray Jiang
Nemanja Rakićević
Hado van Hasselt
Charles Blundell
Adria Puigdomenech Badia
OffRL
52
28
0
15 Sep 2022
Causal Coupled Mechanisms: A Control Method with Cooperation and
  Competition for Complex System
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System
Xuehui Yu
Jingchi Jiang
Xinmiao Yu
Yi Guan
Xue Li
16
0
0
15 Sep 2022
Optimistic Curiosity Exploration and Conservative Exploitation with
  Linear Reward Shaping
Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping
Hao Sun
Lei Han
Rui Yang
Xiaoteng Ma
Jian Guo
Bolei Zhou
OffRL
OnRL
47
10
0
15 Sep 2022
Meta-Reinforcement Learning via Language Instructions
Meta-Reinforcement Learning via Language Instructions
Zhenshan Bing
A. Koch
Xiangtong Yao
Kai-Qi Huang
Alois C. Knoll
LM&Ro
65
19
0
11 Sep 2022
Generalization in Neural Networks: A Broad Survey
Generalization in Neural Networks: A Broad Survey
Chris Rohlfs
OOD
AI4CE
21
6
0
04 Sep 2022
Cell-Free Latent Go-Explore
Cell-Free Latent Go-Explore
Quentin Gallouedec
Emmanuel Dellandrea
26
1
0
31 Aug 2022
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDL
CLL
37
10
0
30 Aug 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Goal-Conditioned Q-Learning as Knowledge Distillation
Alexander Levine
S. Feizi
OffRL
27
2
0
28 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
42
27
0
19 Aug 2022
Intelligent problem-solving as integrated hierarchical reinforcement
  learning
Intelligent problem-solving as integrated hierarchical reinforcement learning
Manfred Eppe
Christian Gumbsch
Matthias Kerzel
Phuong D. H. Nguyen
Martin Volker Butz
S. Wermter
31
75
0
18 Aug 2022
Metric Residual Networks for Sample Efficient Goal-Conditioned
  Reinforcement Learning
Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
B. Liu
Yihao Feng
Qian Liu
Peter Stone
19
3
0
17 Aug 2022
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning
  Algorithm
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
T. Basaklar
S. Gumussoy
Ümit Y. Ogras
24
39
0
16 Aug 2022
Learning Shape Control of Elastoplastic Deformable Linear Objects
Learning Shape Control of Elastoplastic Deformable Linear Objects
Rita Laezza
Y. Karayiannidis
AI4CE
29
22
0
03 Aug 2022
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement
  Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Yongle Luo
Yuxin Wang
Kun Dong
Qiaosheng Zhang
Erkang Cheng
Zhiyong Sun
Bo Song
28
18
0
01 Aug 2022
Robot Policy Learning from Demonstration Using Advantage Weighting and
  Early Termination
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
OffRL
44
2
0
31 Jul 2022
Learning Dynamic Manipulation Skills from Haptic-Play
Learning Dynamic Manipulation Skills from Haptic-Play
Taeyoon Lee
D. Sung
Kyoung-Whan Choi
Choong-Keun Lee
Changwoo Park
Keunjun Choi
53
3
0
28 Jul 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
David Klee
Ondrej Biza
Robert Platt
OffRL
32
1
0
22 Jul 2022
Learning to Solve Soft-Constrained Vehicle Routing Problems with
  Lagrangian Relaxation
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
Qiaoyue Tang
Yangzhe Kong
Lemeng Pan
Choon-woo Lee
35
3
0
20 Jul 2022
Human-to-Robot Imitation in the Wild
Human-to-Robot Imitation in the Wild
Shikhar Bahl
Abhi Gupta
Deepak Pathak
32
166
0
19 Jul 2022
Abstract Demonstrations and Adaptive Exploration for Efficient and
  Stable Multi-step Sparse Reward Reinforcement Learning
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
Xintong Yang
Ze Ji
Jing Wu
Yunyu Lai
OffRL
35
5
0
19 Jul 2022
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