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1707.01495
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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
Re-assign community
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Papers citing
"Hindsight Experience Replay"
50 / 1,345 papers shown
Sensor-Based Navigation Using Hierarchical Reinforcement Learning
Annual Meeting of the IEEE Industry Applications Society (AIAS), 2021
Christoph Gebauer
Nils Dengler
Maren Bennewitz
184
6
0
30 Aug 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Jiaqi Xu
Bin Li
Bo Lu
Yunhui Liu
Qi Dou
Pheng-Ann Heng
296
95
0
30 Aug 2021
Subgoal Search For Complex Reasoning Tasks
Neural Information Processing Systems (NeurIPS), 2021
K. Czechowski
Tomasz Odrzygó'zd'z
Marek Zbysiñski
Michał Zawalski
Krzysztof Olejnik
Yuhuai Wu
Lukasz Kuciñski
Piotr Milo's
ReLM
LRM
299
40
0
25 Aug 2021
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning
Conference on Robot Learning (CoRL), 2021
Martin Riedmiller
Jost Tobias Springenberg
Agrim Gupta
N. Heess
OffRL
222
21
0
23 Aug 2021
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
Tianhong Dai
Hengyan Liu
Kai Arulkumaran
Guangyu Ren
Anil Anthony Bharath
274
13
0
17 Aug 2021
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning
Atakan Dag
A. Angleraud
Wenyan Yang
N. Strokina
R. Pieters
Minna Lanz
Joni-Kristian Kamarainen
194
0
0
17 Aug 2021
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning
International Conference on AI-ML-Systems (ICA), 2021
Aebel Joe Shibu
S. Sadhana
N. Shilpa
Pratyush Kumar
AAML
134
7
0
09 Aug 2021
Parallelized Reverse Curriculum Generation
Zih-Yun Chiu
Yi-Lin Tuan
Hung-yi Lee
Li-Chen Fu
262
1
0
04 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
Jinghuan Shang
Michael S. Ryoo
SSL
266
31
0
02 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu
Z. Ling
Fanbo Xiang
Derek Yang
Xuanlin Li
Stone Tao
Zhiao Huang
Zhiwei Jia
Hao Su
605
202
0
30 Jul 2021
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
Sreehari Rammohan
Shangqun Yu
Bowen He
Eric Hsiung
Eric Rosen
Stefanie Tellex
George Konidaris
OffRL
104
4
0
28 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Neural Information Processing Systems (NeurIPS), 2021
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
289
35
0
27 Jul 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
537
224
0
27 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
Alex Schwing
374
131
0
23 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
289
39
0
21 Jul 2021
Unsupervised Skill-Discovery and Skill-Learning in Minecraft
J. J. Nieto
Roger Creus
Xavier Giró-i-Nieto
SSL
DRL
259
7
0
18 Jul 2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
147
0
0
17 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Kevin Wenliang Li
Abhishek Gupta
Ashwin Reddy
Vitchyr H. Pong
Aurick Zhou
Justin Yu
Sergey Levine
UQCV
267
36
0
15 Jul 2021
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
International Conference on Learning Representations (ICLR), 2021
Ingmar Schubert
Ozgur S. Oguz
Marc Toussaint
OffRL
166
9
0
14 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
International Conference on Machine Learning (ICML), 2021
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
415
77
0
08 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
Journal of Artificial Intelligence Research (JAIR), 2021
Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi-An Ma
498
27
0
08 Jul 2021
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Dexun Li
Meghna Lowalekar
Pradeep Varakantham
OffRL
188
10
0
08 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
ALM
308
6
0
02 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
354
177
0
01 Jul 2021
MHER: Model-based Hindsight Experience Replay
Rui Yang
Meng Fang
Lei Han
Yali Du
Feng Luo
Xiu Li
OffRL
279
23
0
01 Jul 2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
International Conference on Learning Representations (ICLR), 2021
Kai Cheng
Yan Zhao
Kaichun Mo
Zizheng Guo
Yian Wang
Tianhao Wu
Qingnan Fan
Xuelin Chen
Leonidas Guibas
Hao Dong
404
114
0
28 Jun 2021
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
Nader Zare
Bruno Brandoli
Mahtab Sarvmaili
Amilcar Soares
Stan Matwin
218
10
0
27 Jun 2021
panda-gym: Open-source goal-conditioned environments for robotic learning
Quentin Gallouedec
Nicolas Cazin
Emmanuel Dellandrea
Liming Chen
OffRL
179
105
0
25 Jun 2021
Mix and Mask Actor-Critic Methods
Dom Huh
98
1
0
24 Jun 2021
Imitation Learning: Progress, Taxonomies and Challenges
Boyuan Zheng
Sunny Verma
Jianlong Zhou
Ivor Tsang
Fang Chen
415
139
0
23 Jun 2021
No-frills Dynamic Planning using Static Planners
IEEE International Conference on Robotics and Automation (ICRA), 2021
Mara Levy
Vasista Ayyagari
Abhinav Shrivastava
111
0
0
17 Jun 2021
Automatic Curricula via Expert Demonstrations
Siyu Dai
Andreas G. Hofmann
B. Williams
276
7
0
16 Jun 2021
Unbiased Methods for Multi-Goal Reinforcement Learning
Léonard Blier
Yann Ollivier
OffRL
163
6
0
16 Jun 2021
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
Liyu Chen
Mehdi Jafarnia-Jahromi
R. Jain
Haipeng Luo
292
26
0
15 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation
Minghao Zhang
Pingcheng Jian
Yi Wu
Huazhe Xu
Xiaolong Wang
312
9
0
10 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Helen Zhou
SSL
228
16
0
10 Jun 2021
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration
John Mern
Kyle Hatch
Ryan Silva
J. Brush
Mykel J. Kochenderfer
150
6
0
09 Jun 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Theresa Eimer
André Biedenkapp
Katharina Eggensperger
Marius Lindauer
OffRL
LRM
248
35
0
09 Jun 2021
Quickest change detection with unknown parameters: Constant complexity and near optimality
Firas Jarboui
Vianney Perchet
126
0
0
09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Max Schwarzer
Nitarshan Rajkumar
Michael Noukhovitch
Ankesh Anand
Laurent Charlin
Devon Hjelm
Philip Bachman
Aaron Courville
OffRL
304
143
0
09 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
Conference on Robot Learning (CoRL), 2021
Chengguang Xu
Chris Amato
Lawson L. S. Wong
109
8
0
07 Jun 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Maximilian Seitzer
Bernhard Schölkopf
Georg Martius
CML
350
105
0
07 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2021
A. Aubret
L. Matignon
S. Hassas
211
12
0
06 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Neural Information Processing Systems (NeurIPS), 2021
Michael Janner
Qiyang Li
Sergey Levine
OffRL
856
823
0
03 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes
Lorenzo Steccanella
Simone Totaro
Anders Jonsson
246
6
0
03 Jun 2021
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour
IEEE International Conference on Robotics and Automation (ICRA), 2021
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
178
4
0
02 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
Jongwook Choi
Archit Sharma
Honglak Lee
Sergey Levine
S. Gu
DRL
264
23
0
02 Jun 2021
Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach
Myoung-Hoon Lee
Jun Moon
227
10
0
02 Jun 2021
High-Quality Diversification for Task-Oriented Dialogue Systems
Findings (Findings), 2021
Zhiwen Tang
Hrishikesh Kulkarni
Grace Hui Yang
251
11
0
02 Jun 2021
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models
Steven J Kommrusch
Théo Barollet
L. Pouchet
217
6
0
01 Jun 2021
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