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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
Learning Modular Robot Locomotion from Demonstrations
Learning Modular Robot Locomotion from Demonstrations
Julian Whitman
Howie Choset
100
1
0
31 Oct 2022
Teacher-student curriculum learning for reinforcement learning
Teacher-student curriculum learning for reinforcement learning
Yanick Schraner
OffRL
80
2
0
31 Oct 2022
Reinforcement Learning for Solving Robotic Reaching Tasks in the
  Neurorobotics Platform
Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform
Márton Szep
Leander Lauenburg
Kevin Farkas
Xiyan Su
Chuanlong Zang
59
0
0
31 Oct 2022
Using Contrastive Samples for Identifying and Leveraging Possible Causal
  Relationships in Reinforcement Learning
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning
H. Khadilkar
Hardik Meisheri
OffRL
58
1
0
28 Oct 2022
Language Control Diffusion: Efficiently Scaling through Space, Time, and
  Tasks
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
Edwin Zhang
Yujie Lu
William Wang
Amy Zhang
DiffMLM&Ro
71
18
0
27 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRLOnRL
132
16
0
27 Oct 2022
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal
  Conditioning
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
Caroline Wang
Garrett A. Warnell
Peter Stone
92
3
0
26 Oct 2022
Auxiliary task discovery through generate-and-test
Auxiliary task discovery through generate-and-test
Banafsheh Rafiee
Sina Ghiassian
Jun Jin
R. Sutton
Jun Luo
Adam White
98
0
0
25 Oct 2022
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving
  Without Real Data
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
John So
Amber Xie
Sunggoo Jung
J. Edlund
Rohan Thakker
Ali Agha-mohammadi
Pieter Abbeel
Stephen James
92
9
0
25 Oct 2022
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight
  Experience Replay
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay
Adarsh Sehgal
Muskan Sehgal
Hung M. La
31
2
0
24 Oct 2022
Motion Policy Networks
Motion Policy Networks
Adam Fishman
Adithya Murali
Clemens Eppner
Bryan N. Peele
Byron Boots
Dieter Fox
121
58
0
21 Oct 2022
MoCoDA: Model-based Counterfactual Data Augmentation
MoCoDA: Model-based Counterfactual Data Augmentation
Silviu Pitis
Elliot Creager
Ajay Mandlekar
Animesh Garg
OffRL
92
38
0
20 Oct 2022
Task Phasing: Automated Curriculum Learning from Demonstrations
Task Phasing: Automated Curriculum Learning from Demonstrations
Vaibhav Bajaj
Guni Sharon
Peter Stone
66
8
0
20 Oct 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
89
1
0
20 Oct 2022
Hierarchical Reinforcement Learning for Furniture Layout in Virtual
  Indoor Scenes
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes
Xinhan Di
Pengqian Yu
3DV
26
0
0
19 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
99
25
0
18 Oct 2022
From Play to Policy: Conditional Behavior Generation from Uncurated
  Robot Data
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
Zichen Jeff Cui
Yibin Wang
Nur Muhammad (Mahi) Shafiullah
Lerrel Pinto
LM&RoVGenOffRL
100
95
0
18 Oct 2022
Towards an Interpretable Hierarchical Agent Framework using Semantic
  Goals
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals
Bharat Prakash
Nicholas R. Waytowich
Tim Oates
T. Mohsenin
44
5
0
16 Oct 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to
  Experience Abstraction
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction
Mehrdad Tavassoli
S. Katyara
Maria Pozzi
Nikhil Deshpande
D. Caldwell
D. Prattichizzo
96
13
0
14 Oct 2022
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate
  diverse repertoires of grasping trajectories
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories
J. Huber
Oumar Sane
Alexandre Coninx
F. B. Amar
Stéphane Doncieux
73
1
0
14 Oct 2022
Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform
  for the Customized Control Tasks of Fighter Aircrafts
Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter Aircrafts
Muhammed Murat Özbek
S. Yildirim
Muhammet Aksoy
Eric Kernin
E. Koyuncu
64
5
0
13 Oct 2022
Causality-driven Hierarchical Structure Discovery for Reinforcement
  Learning
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
Shaohui Peng
Xin Hu
Rui Zhang
Ke Tang
Jiaming Guo
...
Xishan Zhang
Zidong Du
Ling Li
Qi Guo
Yunji Chen
76
23
0
13 Oct 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for
  Learning Visuomotor Tasks
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Kuan Fang
Patrick Yin
Ashvin Nair
Homer Walke
Ge Yan
Sergey Levine
OffRL
92
25
0
12 Oct 2022
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
71
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
67
6
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
OffRLOnRL
218
71
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
105
13
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
119
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
119
22
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
72
1
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
71
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
Helen Zhou
LMTDOffRL
89
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
196
114
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
82
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
96
11
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
105
250
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
40
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
100
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
75
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
SSLOffRL
119
306
0
30 Sep 2022
Does Zero-Shot Reinforcement Learning Exist?
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati
Jérémy Rapin
Yann Ollivier
OffRL
116
46
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
74
3
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
52
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
60
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
97
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
57
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
54
15
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
93
8
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
120
86
0
19 Sep 2022
Towards advanced robotic manipulation
Towards advanced robotic manipulation
Francisco Roldan Sanchez
Stephen J. Redmond
Kevin McGuinness
Noel E. O'Connor
54
1
0
19 Sep 2022
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