ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1707.01495
  4. Cited By
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
ArXivPDFHTML

Papers citing "Hindsight Experience Replay"

50 / 1,245 papers shown
Title
What Can I Do Here? Learning New Skills by Imagining Visual Affordances
What Can I Do Here? Learning New Skills by Imagining Visual Affordances
Alexander Khazatsky
Ashvin Nair
Dan Jing
Sergey Levine
LM&Ro
12
33
0
01 Jun 2021
Shaped Policy Search for Evolutionary Strategies using Waypoints
Shaped Policy Search for Evolutionary Strategies using Waypoints
Kiran Lekkala
Laurent Itti
19
1
0
30 May 2021
Reducing the Deployment-Time Inference Control Costs of Deep
  Reinforcement Learning Agents via an Asymmetric Architecture
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
Chin-Jui Chang
Yu-Wei Chu
Chao-Hsien Ting
Hao-Kang Liu
Zhang-Wei Hong
Chun-Yi Lee
AI4CE
23
1
0
30 May 2021
Adversarial Intrinsic Motivation for Reinforcement Learning
Adversarial Intrinsic Motivation for Reinforcement Learning
Ishan Durugkar
Mauricio Tec
S. Niekum
Peter Stone
OOD
48
38
0
27 May 2021
Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence
  Optimization
Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization
Taisuke Kobayashi
38
13
0
27 May 2021
Towards Teachable Autotelic Agents
Towards Teachable Autotelic Agents
Olivier Sigaud
Ahmed Akakzia
Hugo Caselles-Dupré
Cédric Colas
Pierre-Yves Oudeyer
Mohamed Chetouani
34
7
0
25 May 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action
  Usefulness
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness
Mathieu Seurin
Florian Strub
Philippe Preux
Olivier Pietquin
32
9
0
20 May 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
Menghui Zhu
Minghuan Liu
Jian Shen
Zhicheng Zhang
Sheng Chen
Weinan Zhang
Deheng Ye
Yong Yu
Qiang Fu
Wei Yang
49
22
0
13 May 2021
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic
  Manipulation with Pybullet
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet
Xintong Yang
Ze Ji
Jing Wu
Yu-Kun Lai
24
15
0
12 May 2021
Efficient Self-Supervised Data Collection for Offline Robot Learning
Efficient Self-Supervised Data Collection for Offline Robot Learning
Shadi Endrawis
Gal Leibovich
Guy Jacob
Gal Novik
Aviv Tamar
SSL
OffRL
31
9
0
10 May 2021
Visual Foresight Trees for Object Retrieval from Clutter with
  Nonprehensile Rearrangement
Visual Foresight Trees for Object Retrieval from Clutter with Nonprehensile Rearrangement
Baichuan Huang
Shuai D. Han
Jingjin Yu
Abdeslam Boularias
37
52
0
06 May 2021
Robotic Surgery With Lean Reinforcement Learning
Robotic Surgery With Lean Reinforcement Learning
Yotam Barnoy
Molly O'Brien
Wenjie Wang
Gregory D. Hager
OffRL
46
20
0
03 May 2021
Curious Exploration and Return-based Memory Restoration for Deep
  Reinforcement Learning
Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning
Saeed Tafazzol
Erfan Fathi
Mahdi Rezaei
Ehsan Asali
13
2
0
02 May 2021
Capability Iteration Network for Robot Path Planning
Capability Iteration Network for Robot Path Planning
Buqing Nie
Yue Gao
Yi Mei
Feng Gao
3DV
18
7
0
29 Apr 2021
SocialAI 0.1: Towards a Benchmark to Stimulate Research on
  Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
ALM
LM&Ro
28
2
0
27 Apr 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for
  General-Purpose Policies
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
Soroush Nasiriany
Vitchyr H. Pong
Ashvin Nair
Alexander Khazatsky
Glen Berseth
Sergey Levine
OffRL
66
14
0
23 Apr 2021
Outcome-Driven Reinforcement Learning via Variational Inference
Outcome-Driven Reinforcement Learning via Variational Inference
Tim G. J. Rudner
Vitchyr H. Pong
R. McAllister
Y. Gal
Sergey Levine
34
20
0
20 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
272
0
16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of
  Robotic Skills
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar
Karol Hausman
Yao Lu
Ted Xiao
Dmitry Kalashnikov
...
A. Irpan
Benjamin Eysenbach
Ryan Julian
Chelsea Finn
Sergey Levine
SSL
OffRL
37
146
0
15 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision
GridToPix: Training Embodied Agents with Minimal Supervision
Unnat Jain
Iou-Jen Liu
Svetlana Lazebnik
Aniruddha Kembhavi
Luca Weihs
Alex Schwing
33
23
0
14 Apr 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control
TAAC: Temporally Abstract Actor-Critic for Continuous Control
Haonan Yu
Wei Xu
Haichao Zhang
OffRL
21
21
0
13 Apr 2021
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement
  Learning
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
Takato Okudo
Seiji Yamada
OffRL
13
21
0
13 Apr 2021
Two-stage training algorithm for AI robot soccer
Two-stage training algorithm for AI robot soccer
Taeyoung Kim
L. Vecchietti
Kyujin Choi
Sanem Sariel
Dongsoo Har
21
7
0
13 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep
  Reinforcement Learning
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
Jinxin Liu
Donglin Wang
Qiangxing Tian
Zhengyu Chen
37
23
0
11 Apr 2021
Attribute-Based Robotic Grasping with One-Grasp Adaptation
Attribute-Based Robotic Grasping with One-Grasp Adaptation
Yang Yang
Yuanhao Liu
Hengyue Liang
Xibai Lou
Changhyun Choi
17
18
0
06 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
52
130
0
01 Apr 2021
Touch-based Curiosity for Sparse-Reward Tasks
Touch-based Curiosity for Sparse-Reward Tasks
Sai Rajeswar
Cyril Ibrahim
Nitin Surya
Florian Golemo
David Vazquez
Rameswar Panda
Pedro H. O. Pinheiro
15
6
0
01 Apr 2021
Simultaneous Navigation and Construction Benchmarking Environments
Simultaneous Navigation and Construction Benchmarking Environments
Wenyu Han
Chen Feng
Haoran Wu
Alexander Gao
Armand Jordana
Dong Liu
Lerrel Pinto
Ludovic Righetti
22
0
0
31 Mar 2021
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning
  Approach
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach
Shaoyang Wang
Tiejun Lv
Wei Ni
N. Beaulieu
Y. Guo
22
44
0
29 Mar 2021
Self-Imitation Learning by Planning
Self-Imitation Learning by Planning
Junhyuk Oh
Yijie Guo
Satinder Singh
SSL
35
85
0
25 Mar 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based
  RL
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
Iretiayo Akinola
Zizhao Wang
Peter K. Allen
42
2
0
24 Mar 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement
  Learning and Demonstrations: A Large-Scale Study
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
Wenzhao Lian
Chang Su
Mel Vecerík
Ning Ye
S. Schaal
Jonathan Scholz
OffRL
27
60
0
21 Mar 2021
Inclined Quadrotor Landing using Deep Reinforcement Learning
Inclined Quadrotor Landing using Deep Reinforcement Learning
Jacob E. Kooi
Robert Babuška
21
27
0
16 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with
  Curiosity Contrastive Forward Dynamics Model
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen
Tung M. Luu
Thang Vu
Chang D. Yoo
23
17
0
15 Mar 2021
Mutual Information State Intrinsic Control
Mutual Information State Intrinsic Control
Rui Zhao
Yang Gao
Pieter Abbeel
Volker Tresp
Wenyuan Xu
SSL
17
24
0
15 Mar 2021
Learning One Representation to Optimize All Rewards
Learning One Representation to Optimize All Rewards
Ahmed Touati
Yann Ollivier
OffRL
21
60
0
14 Mar 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction
Solving Compositional Reinforcement Learning Problems via Task Reduction
Yunfei Li
Yilin Wu
Huazhe Xu
Xiaolong Wang
Yi Wu
31
19
0
13 Mar 2021
An Information-Theoretic Perspective on Credit Assignment in
  Reinforcement Learning
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning
Dilip Arumugam
Peter Henderson
Pierre-Luc Bacon
24
17
0
10 Mar 2021
ELLA: Exploration through Learned Language Abstraction
ELLA: Exploration through Learned Language Abstraction
Suvir Mirchandani
Siddharth Karamcheti
Dorsa Sadigh
LLMAG
27
57
0
10 Mar 2021
Efficient learning of goal-oriented push-grasping synergy in clutter
Efficient learning of goal-oriented push-grasping synergy in clutter
Kechun Xu
Hongxiang Yu
Qianen Lai
Yue Wang
R. Xiong
21
68
0
09 Mar 2021
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs
  through Functional Electrical Stimulation
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation
Nat Wannawas
A. Shafti
A. Faisal
8
2
0
09 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
46
195
0
08 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
31
20
0
06 Mar 2021
Learning for Visual Navigation by Imagining the Success
Learning for Visual Navigation by Imagining the Success
M. Moghaddam
Ehsan Abbasnejad
Qi Wu
Javen Qinfeng Shi
Anton Van Den Hengel
16
3
0
28 Feb 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications
  to Reinforcement Learning
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Pascal Klink
Hany Abdulsamad
Boris Belousov
Carlo DÉramo
Jan Peters
Joni Pajarinen
45
23
0
25 Feb 2021
Bias-reduced Multi-step Hindsight Experience Replay for Efficient
  Multi-goal Reinforcement Learning
Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning
Rui Yang
Jiafei Lyu
Yu Yang
Jiangpeng Yan
Feng Luo
Dijun Luo
Lanqing Li
Xiu Li
51
6
0
25 Feb 2021
Differentiable Logic Machines
Differentiable Logic Machines
Matthieu Zimmer
Xuening Feng
Claire Glanois
Zhaohui Jiang
Jianyi Zhang
Paul Weng
Li Dong
Hao Jianye
Liu Wulong
AI4CE
30
22
0
23 Feb 2021
Reinforcement Learning with Prototypical Representations
Reinforcement Learning with Prototypical Representations
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
SSL
31
218
0
22 Feb 2021
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic
  Motivation
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation
Nikola Vulin
Sammy Christen
Stefan Stevšić
Otmar Hilliges
15
19
0
22 Feb 2021
Provably Improved Context-Based Offline Meta-RL with Attention and
  Contrastive Learning
Provably Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning
Lanqing Li
Yuanhao Huang
Mingzhe Chen
Siteng Luo
Dijun Luo
Junzhou Huang
OffRL
13
3
0
22 Feb 2021
Previous
123...151617...232425
Next