Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1707.01495
Cited By
v1
v2
v3 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Hindsight Experience Replay"
50 / 1,345 papers shown
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
ACM Conference on Recommender Systems (RecSys), 2020
Fei Mi
Xiao Lin
Boi Faltings
CLL
261
65
0
23 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Yangchen Pan
Jincheng Mei
Amir-massoud Farahmand
Martha White
Hengshuai Yao
Mohsen Rohani
Jun Luo
448
22
0
19 Jul 2020
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Yasuhiro Fujita
Kota Uenishi
Avinash Ummadisingu
P. Nagarajan
Shimpei Masuda
M. Castro
309
19
0
16 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters
International Conference on Machine Learning (ICML), 2020
Suraj Nair
Silvio Savarese
Chelsea Finn
225
71
0
14 Jul 2020
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Jean Tarbouriech
Matteo Pirotta
Michal Valko
A. Lazaric
OffRL
316
19
0
13 Jul 2020
Implicit Distributional Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Yuguang Yue
Zhendong Wang
Mingyuan Zhou
OffRL
189
17
0
13 Jul 2020
Double Prioritized State Recycled Experience Replay
Fanchen Bu
D. Chang
OffRL
178
14
0
08 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDL
OffRL
309
111
0
06 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
410
26
0
01 Jul 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Travis Manderson
J. A. G. Higuera
Stefan Wapnick
J. Tremblay
Florian Shkurti
David Meger
Gregory Dudek
272
58
0
29 Jun 2020
Experience Replay with Likelihood-free Importance Weights
Conference on Learning for Dynamics & Control (L4DC), 2020
Samarth Sinha
Jiaming Song
Animesh Garg
Stefano Ermon
OffRL
244
71
0
23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning
International Conference on Pattern Recognition (ICPR), 2020
Lingheng Meng
R. Gorbet
Dana Kulic
OffRL
179
33
0
23 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
350
134
0
22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Tianren Zhang
Shangqi Guo
Tian Tan
Xiaolin Hu
Feng Chen
497
102
0
20 Jun 2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration
Shuai Han
Wenbo Zhou
Jing Liu
Shuai Lu
154
37
0
19 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Alexey Skrynnik
A. Staroverov
Ermek Aitygulov
Kirill Aksenov
Vasilii Davydov
Aleksandr I. Panov
OffRL
169
4
0
17 Jun 2020
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang
Pieter Abbeel
Lerrel Pinto
287
122
0
17 Jun 2020
Task-agnostic Exploration in Reinforcement Learning
Xuezhou Zhang
Yuzhe Ma
Adish Singla
OffRL
235
53
0
16 Jun 2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration
Xiang Gao
J. Si
Yue Wen
Minhan Li
He
H. Huang
131
35
0
16 Jun 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Guy Bresler
Prateek Jain
Dheeraj M. Nagaraj
Praneeth Netrapalli
Xian Wu
215
69
0
16 Jun 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yunhao Tang
A. Kucukelbir
OffRL
223
18
0
13 Jun 2020
Grounding Language to Autonomously-Acquired Skills via Goal Generation
Ahmed Akakzia
Cédric Colas
Pierre-Yves Oudeyer
Mohamed Chetouani
Olivier Sigaud
LM&Ro
296
3
0
12 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL
Cédric Colas
Ahmed Akakzia
Pierre-Yves Oudeyer
Mohamed Chetouani
Olivier Sigaud
LM&Ro
224
20
0
12 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
R. Akrour
Davide Tateo
Jan Peters
258
29
0
10 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
Neural Information Processing Systems (NeurIPS), 2020
Henry Charlesworth
Giovanni Montana
OffRL
457
32
0
01 Jun 2020
LEAF: Latent Exploration Along the Frontier
Homanga Bharadhwaj
Animesh Garg
Florian Shkurti
266
1
0
21 May 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning
Zhenhui Ye
Yining Chen
Guang-hua Song
Bowei Yang
Sheng Fan
OffRL
241
9
0
19 May 2020
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
443
290
0
15 May 2020
Simple Sensor Intentions for Exploration
Tim Hertweck
Martin Riedmiller
Michael Bloesch
Jost Tobias Springenberg
Noah Y. Siegel
Markus Wulfmeier
Agrim Gupta
N. Heess
199
10
0
15 May 2020
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
435
481
0
12 May 2020
TOMA: Topological Map Abstraction for Reinforcement Learning
Zhao-Heng Yin
Wu-Jun Li
109
3
0
11 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning
Frank Röder
Manfred Eppe
Phuong D. H. Nguyen
S. Wermter
217
22
0
07 May 2020
Adaptive Dialog Policy Learning with Hindsight and User Modeling
Yan Cao
Keting Lu
Xiaoping Chen
Shiqi Zhang
297
11
0
07 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning
Annual Meeting of the IEEE Industry Applications Society (IEEE IAS Annual Meeting), 2020
Andrea Franceschetti
E. Tosello
Nicola Castaman
Stefano Ghidoni
175
40
0
06 May 2020
Generalized Planning With Deep Reinforcement Learning
Or Rivlin
Tamir Hazan
E. Karpas
OffRL
190
59
0
05 May 2020
Reinforcement Learning with Augmented Data
Neural Information Processing Systems (NeurIPS), 2020
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
701
756
0
30 Apr 2020
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships
Yunlian Lv
Ning Xie
Yimin Shi
Zijiao Wang
Mengqi Li
119
0
0
29 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
International Conference on Learning Representations (ICLR), 2020
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
632
902
0
28 Apr 2020
First return, then explore
Nature (Nature), 2020
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
809
425
0
27 Apr 2020
Evolutionary Stochastic Policy Distillation
Hao Sun
Xinyu Pan
Bo Dai
Dahua Lin
Bolei Zhou
228
1
0
27 Apr 2020
Self-Paced Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
ODL
513
64
0
24 Apr 2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Giambattista Parascandolo
Lars Buesing
J. Merel
Leonard Hasenclever
John Aslanides
Jessica B. Hamrick
N. Heess
Alexander Neitz
T. Weber
170
33
0
23 Apr 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis
Minjian Xin
Dilip Arumugam
Kevin T. Feigelis
Daniel L. K. Yamins
166
7
0
22 Apr 2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
Keting Lu
Shiqi Zhang
Xiaoping Chen
OffRL
OnRL
244
3
0
22 Apr 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
Aditi Mavalankar
OffRL
131
7
0
17 Apr 2020
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
C. Bellinger
Rory Coles
Mark Crowley
Isaac Tamblyn
OOD
110
2
0
15 Apr 2020
Learning visual policies for building 3D shape categories
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Cordelia Schmid
209
3
0
15 Apr 2020
Self Punishment and Reward Backfill for Deep Q-Learning
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
M. Bonyadi
Rui Wang
M. Ziaei
180
6
0
10 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Neural Information Processing Systems (NeurIPS), 2020
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
295
28
0
06 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
390
21
0
29 Mar 2020
Previous
1
2
3
...
20
21
22
...
25
26
27
Next
Page 21 of 27
Page
of 27
Go
