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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 / 1,345 papers shown
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward FunctionsNeural Information Processing Systems (NeurIPS), 2022
Robert Meier
Asier Mujika
318
8
0
16 Feb 2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust
  Keypoints Representation
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints RepresentationAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
Tianying Wang
En Yen Puang
Marcus Lee
Yongpeng Wu
Wei Jing
SSL
232
5
0
12 Feb 2022
Online Decision Transformer
Online Decision TransformerInternational Conference on Machine Learning (ICML), 2022
Qinqing Zheng
Amy Zhang
Aditya Grover
OffRL
403
250
0
11 Feb 2022
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic
  Agents
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents
Ahmed Akakzia
Olivier Serris
Olivier Sigaud
Cédric Colas
202
6
0
10 Feb 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to
  Offline RL
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RLInternational Conference on Learning Representations (ICLR), 2022
Rui Yang
Yiming Lu
Wenzhe Li
Hao Sun
Meng Fang
Yali Du
Xiu Li
Lei Han
Chongjie Zhang
OffRL
379
96
0
09 Feb 2022
Approximating Gradients for Differentiable Quality Diversity in
  Reinforcement Learning
Approximating Gradients for Differentiable Quality Diversity in Reinforcement LearningAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Bryon Tjanaka
Matthew C. Fontaine
Julian Togelius
Stefanos Nikolaidis
300
59
0
08 Feb 2022
Pre-Trained Language Models for Interactive Decision-Making
Pre-Trained Language Models for Interactive Decision-MakingNeural Information Processing Systems (NeurIPS), 2022
Shuang Li
Xavier Puig
Chris Paxton
Yilun Du
Clinton Jia Wang
...
Anima Anandkumar
Jacob Andreas
Igor Mordatch
Antonio Torralba
Yuke Zhu
LM&Ro
478
315
0
03 Feb 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
How to Leverage Unlabeled Data in Offline Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
550
76
0
03 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for
  Offline Reinforcement Learning
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Denis Yarats
David Brandfonbrener
Hao Liu
Michael Laskin
Pieter Abbeel
A. Lazaric
Lerrel Pinto
OffRLOnRL
248
112
0
31 Jan 2022
Contrastive Learning from Demonstrations
Contrastive Learning from DemonstrationsInternational Conference on Robotic Computing (IRC), 2022
André Rosa de Sousa Porfírio Correia
L. A. Alexandre
SSL
274
2
0
30 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning
The Challenges of Exploration for Offline Reinforcement Learning
Nathan Lambert
Markus Wulfmeier
William F. Whitney
Arunkumar Byravan
Michael Bloesch
Vibhavari Dasagi
Tim Hertweck
Martin Riedmiller
OffRL
232
33
0
27 Jan 2022
State-Conditioned Adversarial Subgoal Generation
State-Conditioned Adversarial Subgoal GenerationAAAI Conference on Artificial Intelligence (AAAI), 2022
V. Wang
Joni Pajarinen
Tinghuai Wang
Joni-Kristian Kämäräinen
385
15
0
24 Jan 2022
Pearl: Parallel Evolutionary and Reinforcement Learning Library
Pearl: Parallel Evolutionary and Reinforcement Learning Library
Rohan Tangri
Danilo P. Mandic
A. Constantinides
176
3
0
24 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and SolutionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Minghuan Liu
Menghui Zhu
Weinan Zhang
405
199
0
20 Jan 2022
Reinforcement Learning based Air Combat Maneuver Generation
Reinforcement Learning based Air Combat Maneuver Generation
Muhammed Murat Özbek
E. Koyuncu
88
5
0
14 Jan 2022
Automated Reinforcement Learning: An Overview
Automated Reinforcement Learning: An Overview
Reza Refaei Afshar
Yingqian Zhang
Joaquin Vanschoren
U. Kaymak
Yaoxin Wu
Wen Song
Yingqian Zhang
OffRL
464
18
0
13 Jan 2022
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based
  Robotics
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics
Swagat Kumar
Hayden Sampson
Ardhendu Behera
197
0
0
11 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open ProblemsJournal of Artificial Intelligence Research (JAIR), 2022
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Katharina Eggensperger
Marius Lindauer
AI4CE
480
134
0
11 Jan 2022
STIR$^2$: Reward Relabelling for combined Reinforcement and Imitation
  Learning on sparse-reward tasks
STIR2^22: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasksAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Jesús Bujalance Martín
Fabien Moutarde
OffRL
220
2
0
11 Jan 2022
Integrating Artificial Intelligence and Augmented Reality in Robotic
  Surgery: An Initial dVRK Study Using a Surgical Education Scenario
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education ScenarioInternational Symposium on Medical Robotics (ISMR), 2022
Yonghao Long
Jianfeng Cao
Anton Deguet
Russell H. Taylor
Qi Dou
413
27
0
02 Jan 2022
Multiagent Model-based Credit Assignment for Continuous Control
Multiagent Model-based Credit Assignment for Continuous ControlAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Dongge Han
Chris Xiaoxuan Lu
Tomasz P. Michalak
Michael Wooldridge
132
11
0
27 Dec 2021
Off Environment Evaluation Using Convex Risk Minimization
Off Environment Evaluation Using Convex Risk MinimizationIEEE International Conference on Robotics and Automation (ICRA), 2021
Pulkit Katdare
Shuijing Liu
Katherine Driggs-Campbell
140
2
0
21 Dec 2021
Proving Theorems using Incremental Learning and Hindsight Experience
  Replay
Proving Theorems using Incremental Learning and Hindsight Experience ReplayInternational Conference on Machine Learning (ICML), 2021
Eser Aygun
Laurent Orseau
Ankit Anand
Xavier Glorot
Vlad Firoiu
Lei M. Zhang
Doina Precup
Shibl Mourad
CLLLRM
300
22
0
20 Dec 2021
Replay For Safety
Replay For Safety
Liran Szlak
Ohad Shamir
OffRL
143
0
0
08 Dec 2021
CALVIN: A Benchmark for Language-Conditioned Policy Learning for
  Long-Horizon Robot Manipulation Tasks
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation TasksIEEE Robotics and Automation Letters (RA-L), 2021
Oier Mees
Lukás Hermann
Erick Rosete-Beas
Wolfram Burgard
LM&Ro
671
485
0
06 Dec 2021
Hierarchical Reinforcement Learning with Timed Subgoals
Hierarchical Reinforcement Learning with Timed SubgoalsNeural Information Processing Systems (NeurIPS), 2021
Nico Gürtler
Le Chen
Georg Martius
355
34
0
06 Dec 2021
Flexible-Joint Manipulator Trajectory Tracking with Learned Two-Stage
  Model employing One-Step Future Prediction
Flexible-Joint Manipulator Trajectory Tracking with Learned Two-Stage Model employing One-Step Future PredictionInternational Conference on Robotic Computing (IRC), 2021
D. Pavlichenko
Sven Behnke
164
1
0
06 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
284
21
0
02 Dec 2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous
  manipulation
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev
Oleg O. Sushkov
Jean-Baptiste Regli
S. Schaal
Y. Aytar
Markus Wulfmeier
Jonathan Scholz
243
19
0
01 Dec 2021
Learning Long-Term Reward Redistribution via Randomized Return
  Decomposition
Learning Long-Term Reward Redistribution via Randomized Return DecompositionInternational Conference on Learning Representations (ICLR), 2021
Zhizhou Ren
Ruihan Guo
Yuanshuo Zhou
Jian-wei Peng
381
44
0
26 Nov 2021
Adaptive Multi-Goal Exploration
Adaptive Multi-Goal Exploration
Jean Tarbouriech
O. D. Domingues
Pierre Ménard
Matteo Pirotta
Michal Valko
A. Lazaric
347
4
0
23 Nov 2021
Generalized Decision Transformer for Offline Hindsight Information
  Matching
Generalized Decision Transformer for Offline Hindsight Information MatchingInternational Conference on Learning Representations (ICLR), 2021
Hiroki Furuta
Y. Matsuo
S. Gu
OffRL
362
124
0
19 Nov 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned
  Reinforcement Learning
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang
Sungryull Sohn
Jongwook Choi
Wilka Carvalho
Honglak Lee
228
41
0
18 Nov 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned
  Policies in Robotics
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in RoboticsNeural Information Processing Systems (NeurIPS), 2021
Ingmar Schubert
Danny Driess
Ozgur S. Oguz
Marc Toussaint
OffRL
172
1
0
15 Nov 2021
Improving Experience Replay through Modeling of Similar Transitions'
  Sets
Improving Experience Replay through Modeling of Similar Transitions' Sets
Daniel Eugênio Neves
João Pedro Oliveira Batisteli
Eduardo Felipe Lopes
Lucila Ishitani
Zenilton K. G. Patrocínio
OffRL
128
1
0
12 Nov 2021
One model Packs Thousands of Items with Recurrent Conditional Query
  Learning
One model Packs Thousands of Items with Recurrent Conditional Query LearningKnowledge-Based Systems (KBS), 2021
Dongda Li
Zhaoquan Gu
Yuexuan Wang
Changwei Ren
F. Lau
231
22
0
12 Nov 2021
Distilling Motion Planner Augmented Policies into Visual Control
  Policies for Robot Manipulation
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot ManipulationConference on Robot Learning (CoRL), 2021
Isabella Liu
Shagun Uppal
Gaurav Sukhatme
Joseph J. Lim
Péter Englert
Youngwoon Lee
163
13
0
11 Nov 2021
Data-Efficient Deep Reinforcement Learning for Attitude Control of
  Fixed-Wing UAVs: Field Experiments
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
Eivind Bøhn
E. M. Coates
D. Reinhardt
T. Johansen
167
53
0
07 Nov 2021
Automatic Goal Generation using Dynamical Distance Learning
Automatic Goal Generation using Dynamical Distance Learning
Bharat Prakash
Nicholas R. Waytowich
T. Mohsenin
Tim Oates
129
2
0
07 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon
  Reasoning
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon ReasoningInternational Conference on Learning Representations (ICLR), 2021
Dhruv Shah
Peng Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
297
49
0
04 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task
  Learning
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
Wenlong Huang
Igor Mordatch
Pieter Abbeel
Deepak Pathak
324
71
0
04 Nov 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation
  Controlled using Deep Reinforcement Learning
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement LearningAmerican Control Conference (ACC), 2021
Sindre Benjamin Remman
Inga Strümke
A. Lekkas
CML
193
11
0
04 Nov 2021
Autonomous Attack Mitigation for Industrial Control Systems
Autonomous Attack Mitigation for Industrial Control Systems
John Mern
Kyle Hatch
Ryan Silva
Cameron Hickert
Tamim I. Sookoor
Mykel J. Kochenderfer
AAML
169
11
0
03 Nov 2021
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
Discovering and Exploiting Sparse Rewards in a Learned Behavior SpaceEvolutionary Computation (Evol. Comput.), 2021
Giuseppe Paolo
Alexandre Coninx
Alban Laflaquière
Stéphane Doncieux
250
6
0
02 Nov 2021
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms
  via Batch Prioritized Experience Replay
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience ReplayIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2021
Dogan C. Cicek
Enes Duran
Baturay Saglam
Furkan B. Mutlu
Suleyman S. Kozat
OffRL
155
15
0
02 Nov 2021
Robot Learning from Randomized Simulations: A Review
Robot Learning from Randomized Simulations: A ReviewFrontiers in Robotics and AI (Front. Robot. AI), 2021
Fabio Muratore
Fabio Ramos
Greg Turk
Wenhao Yu
Michael Gienger
Jan Peters
AI4CE
401
124
0
01 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning
Adjacency constraint for efficient hierarchical reinforcement learningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianren Zhang
Shangqi Guo
Tian Tan
Xiao M Hu
Feng Chen
584
24
0
30 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
Hindsight Goal Ranking on Replay Buffer for Sparse Reward EnvironmentIEEE Access (IEEE Access), 2021
Tung M. Luu
Chang D. Yoo
181
13
0
28 Oct 2021
Similarity-Aware Skill Reproduction based on Multi-Representational
  Learning from Demonstration
Similarity-Aware Skill Reproduction based on Multi-Representational Learning from DemonstrationInternational Conference on Advanced Robotics (ICAR), 2021
Brendan Hertel
S. Ahmadzadeh
176
8
0
28 Oct 2021
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward
  Relabeling
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling
Jesús Bujalance Martín
Raphael Chekroun
Fabien Moutarde
OffRL
209
7
0
27 Oct 2021
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