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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
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Papers citing
"Hindsight Experience Replay"
50 / 1,339 papers shown
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
International Conference on Learning Representations (ICLR), 2023
Zibin Dong
Yifu Yuan
Jianye Hao
Fei Ni
Yao Mu
Yan Zheng
Yujing Hu
Tangjie Lv
Changjie Fan
Zhipeng Hu
255
40
0
03 Oct 2023
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency
International Conference on Automation, Robotics and Applications (ICARA), 2023
Francisco Roldan Sanchez
Qiang Wang
David Córdova Bulens
Kevin McGuinness
Stephen J. Redmond
Noel E. O'Connor
OffRL
OnRL
194
1
0
03 Oct 2023
Efficient Planning with Latent Diffusion
International Conference on Learning Representations (ICLR), 2023
Wenhao Li
DiffM
393
10
0
30 Sep 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
IEEE Control Systems Letters (L-CSS), 2023
Mikihisa Yuasa
Huy T. Tran
R. Sreenivas
FAtt
LRM
572
1
0
29 Sep 2023
HyperPPO: A scalable method for finding small policies for robotic control
IEEE International Conference on Robotics and Automation (ICRA), 2023
Luming Tang
Zhehui Huang
Gaurav Sukhatme
234
7
0
28 Sep 2023
RLLTE: Long-Term Evolution Project of Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tao Lv
Zequn Zhang
Yang Xu
Shihao Luo
Bo Li
Xin Jin
Wenjun Zeng
OffRL
216
2
0
28 Sep 2023
Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned
Han Bao
Raphaël Jungers
Jean-Charles Delvenne
OffRL
196
1
0
28 Sep 2023
Learning to Terminate in Object Navigation
Asian Conference on Machine Learning (ACML), 2023
Yuhang Song
Anh Nguyen
Chun-Yi Lee
197
5
0
28 Sep 2023
Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization
International Conference on Knowledge and Systems Engineering (KSE), 2022
Bang Giang Le
Viet-Cuong Ta
OT
207
1
0
27 Sep 2023
Maximum diffusion reinforcement learning
Thomas A. Berrueta
Allison Pinosky
Todd Murphey
AI4CE
DiffM
525
19
0
26 Sep 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
238
7
0
25 Sep 2023
Policy Stitching: Learning Transferable Robot Policies
Conference on Robot Learning (CoRL), 2023
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
OffRL
205
9
0
24 Sep 2023
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
IEEE International Conference on Robotics and Automation (ICRA), 2023
Zenan Li
Fan Nie
Q. Sun
Fang Da
Hang Zhao
OffRL
222
15
0
24 Sep 2023
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Haoran Wang
Zeshen Tang
Leya Yang
Yaoru Sun
Fang Wang
Siyu Zhang
Ye-Ting Chen
309
3
0
24 Sep 2023
Robotic Offline RL from Internet Videos via Value-Function Pre-Training
Chethan Bhateja
Derek Guo
Dibya Ghosh
Anika Singh
Manan Tomar
Q. Vuong
Yevgen Chebotar
Sergey Levine
Aviral Kumar
OffRL
313
29
0
22 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation
Information Fusion (Inf. Fusion), 2023
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
248
26
0
22 Sep 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Conference on Robot Learning (CoRL), 2023
Yevgen Chebotar
Q. Vuong
A. Irpan
Karol Hausman
F. Xia
...
Brianna Zitkovich
Tomas Jackson
Kanishka Rao
Chelsea Finn
Sergey Levine
OffRL
377
125
0
18 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2023
Nico Messikommer
Yunlong Song
Davide Scaramuzza
OffRL
352
12
0
18 Sep 2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
Cristina Pinneri
Sarah Bechtle
Markus Wulfmeier
Arunkumar Byravan
Jingwei Zhang
William F. Whitney
Martin Riedmiller
OffRL
154
2
0
14 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
David Yunis
Justin Jung
Falcon Z. Dai
Matthew R. Walter
OffRL
230
1
0
08 Sep 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Satoshi Yamamori
Jun Morimoto
325
2
0
31 Aug 2023
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Zheng Yuan
Hongyi Yuan
Cheng Li
Guanting Dong
Keming Lu
Chuanqi Tan
Chang Zhou
Jingren Zhou
LRM
ALM
353
286
0
03 Aug 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay
Kevin Denamganai
Daniel Hernández
Ozan Vardal
S. Missaoui
James Alfred Walker
227
0
0
28 Jul 2023
Contrastive Example-Based Control
Conference on Learning for Dynamics & Control (L4DC), 2023
Kyle Hatch
Benjamin Eysenbach
Rafael Rafailov
Tianhe Yu
Ruslan Salakhutdinov
Sergey Levine
Chelsea Finn
OffRL
299
4
0
24 Jul 2023
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Qingyang Zhang
Yiming Yang
Jingqing Ruan
Xuantang Xiong
Dengpeng Xing
Bo Xu
185
4
0
22 Jul 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Neural Information Processing Systems (NeurIPS), 2023
Seohong Park
Dibya Ghosh
Benjamin Eysenbach
Sergey Levine
OffRL
561
95
0
22 Jul 2023
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning
Akash Velu
Skanda Vaidyanath
Dilip Arumugam
OffRL
281
2
0
21 Jul 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
M. Torné
Max Balsells
Zihan Wang
Samedh Desai
Tao Chen
Pulkit Agrawal
Abhishek Gupta
236
15
0
20 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning
IEEE Robotics and Automation Letters (RA-L), 2023
Zhifeng Qian
Mingyu You
Hongjun Zhou
Xuanhui Xu
Bin He
273
5
0
20 Jul 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
International Conference on Machine Learning (ICML), 2023
Zhiao Huang
Litian Liang
Z. Ling
Xuanlin Li
Chuang Gan
H. Su
199
18
0
20 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
IEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
Hongyu Ding
Yuan-Yan Tang
Qing Wu
Bo Wang
Chunlin Chen
Zhi Wang
339
8
0
16 Jul 2023
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents
Grgur Kovač
Rémy Portelas
Peter Ford Dominey
Pierre-Yves Oudeyer
177
28
0
15 Jul 2023
Bi-Touch: Bimanual Tactile Manipulation with Sim-to-Real Deep Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2023
Yijiong Lin
Alex Church
Max Yang
Haoran Li
John Lloyd
Dandan Zhang
Nathan Lepora
245
45
0
12 Jul 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Idan Shenfeld
Zhang-Wei Hong
Aviv Tamar
Pulkit Agrawal
233
21
0
06 Jul 2023
Learning to Solve Tasks with Exploring Prior Behaviours
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Ruiqi Zhu
Siyuan Li
Tianhong Dai
Chongjie Zhang
Oya Celiktutan
238
5
0
06 Jul 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
Andrew Levy
Sreehari Rammohan
A. Allievi
S. Niekum
George Konidaris
248
6
0
06 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing
Journal of Fluid Mechanics (JFM), 2023
Qiulei Wang
Lei Yan
Gang Hu
Wenli Chen
Jean Rabault
B. R. Noack
AI4CE
246
46
0
05 Jul 2023
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Conference on Robot Learning (CoRL), 2023
Vivek Myers
Andre Wang He
Kuan Fang
Homer Walke
Philippe Hansen-Estruch
Ching-An Cheng
Mihai Jalobeanu
Andrey Kolobov
Anca Dragan
Sergey Levine
LM&Ro
430
38
0
30 Jun 2023
HYDRA: Hybrid Robot Actions for Imitation Learning
Conference on Robot Learning (CoRL), 2023
Suneel Belkhale
Yuchen Cui
Dorsa Sadigh
289
65
0
29 Jun 2023
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
Neural Information Processing Systems (NeurIPS), 2023
Alexander Meulemans
Simon Schug
Seijin Kobayashi
Nathaniel D. Daw
Gregory Wayne
374
6
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29 Jun 2023
MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Yuming Huang
Bin Ren
Ziming Xu
Lianghong Wu
OffRL
200
1
0
28 Jun 2023
CEIL: Generalized Contextual Imitation Learning
Neural Information Processing Systems (NeurIPS), 2023
Jinxin Liu
Li He
Yachen Kang
Zifeng Zhuang
Xuetao Zhang
Huazhe Xu
309
21
0
26 Jun 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
Neural Information Processing Systems (NeurIPS), 2023
Jinxin Liu
Hongyin Zhang
Zifeng Zhuang
Yachen Kang
Xuetao Zhang
Bin Wang
OffRL
406
12
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26 Jun 2023
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Neural Information Processing Systems (NeurIPS), 2023
Anirudhan Badrinath
Yannis Flet-Berliac
Allen Nie
Emma Brunskill
OffRL
336
23
0
24 Jun 2023
Learning from Pixels with Expert Observations
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
M. Hoang
Long Dinh
Hai V. Nguyen
OffRL
361
3
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24 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
Massimiliano Patacchiola
Mingfei Sun
Katja Hofmann
Richard Turner
OffRL
228
1
0
23 Jun 2023
Granger-Causal Hierarchical Skill Discovery
Caleb Chuck
Kevin Black
Aditya Arjun
Yuke Zhu
S. Niekum
OffRL
291
4
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15 Jun 2023
Deep Generative Models for Decision-Making and Control
Michael Janner
303
3
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15 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
Xuechen Mu
H. Zhuo
Chong Chen
Kai Zhang
Chao Yu
Jianye Hao
226
2
0
14 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu
Yunpeng Qing
Shuqi Xu
Hongyan Wu
Jiangtao Zhang
Jingyuan Cong
Tianhao Chen
Yunfu Liu
Weilong Dai
230
3
0
14 Jun 2023
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