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  3. 2003.02372
  4. Cited By
Dynamic Experience Replay

Dynamic Experience Replay

Conference on Robot Learning (CoRL), 2020
4 March 2020
Jieliang Luo
Hui Li
ArXiv (abs)PDFHTML

Papers citing "Dynamic Experience Replay"

27 / 27 papers shown
Contrastive Representation for Interactive Recommendation
Contrastive Representation for Interactive RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2024
Jingyu Li
Zhiyong Feng
Dongxiao He
Hongqi Chen
Qinghang Gao
Guoli Wu
426
2
0
24 Dec 2024
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
JUICER: Data-Efficient Imitation Learning for Robotic AssemblyIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Lars Ankile
Anthony Simeonov
Idan Shenfeld
Pulkit Agrawal
LM&Ro
368
43
0
04 Apr 2024
Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for
  Industrial Insertion
Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial InsertionIEEE International Conference on Robotics and Automation (ICRA), 2023
Xiang Zhang
Masayoshi Tomizuka
Hui Li
406
27
0
13 Nov 2023
Using Implicit Behavior Cloning and Dynamic Movement Primitive to
  Facilitate Reinforcement Learning for Robot Motion Planning
Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion PlanningIEEE Transactions on robotics (TRO), 2023
Zengjie Zhang
Jayden Hong
Amir M. Soufi Enayati
Homayoun Najjaran
236
13
0
29 Jul 2023
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to
  Reality
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang
Michael A. Lin
Iretiayo Akinola
Ankur Handa
Gaurav Sukhatme
Fabio Ramos
Dieter Fox
Yashraj S. Narang
OffRL
313
93
0
26 May 2023
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep
  Reinforcement Learning
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2022
Abraham George
Alison Bartsch
A. Farimani
OffRL
287
7
0
22 Sep 2022
Transformer with Memory Replay
Transformer with Memory ReplayAAAI Conference on Artificial Intelligence (AAAI), 2022
R. Liu
Barzan Mozafari
OffRL
424
5
0
19 May 2022
Factory: Fast Contact for Robotic Assembly
Factory: Fast Contact for Robotic Assembly
Yashraj S. Narang
Kier Storey
Iretiayo Akinola
Lukasz Wawrzyniak
Philipp Reist
...
Ádám Moravánszky
Gavriel State
Michelle Lu
Ankur Handa
Dieter Fox
382
109
0
07 May 2022
A Learning Approach to Robot-Agnostic Force-Guided High Precision
  Assembly
A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly
Jieliang Luo
Hui Li
367
21
0
15 Oct 2020
Reinforcement Learning on Variable Impedance Controller for
  High-Precision Robotic Assembly
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic AssemblyIEEE International Conference on Robotics and Automation (ICRA), 2019
Jianlan Luo
Eugen Solowjow
Chengtao Wen
J. A. Ojea
A. Agogino
Aviv Tamar
Pieter Abbeel
416
199
0
04 Mar 2019
A Learning Framework for High Precision Industrial Assembly
A Learning Framework for High Precision Industrial Assembly
Yongxiang Fan
Jieliang Luo
Masayoshi Tomizuka
OffRL
305
57
0
23 Sep 2018
Distributed Distributional Deterministic Policy Gradients
Distributed Distributional Deterministic Policy GradientsInternational Conference on Learning Representations (ICLR), 2018
Gabriel Barth-Maron
Matthew W. Hoffman
David Budden
Will Dabney
Dan Horgan
TB Dhruva
Alistair Muldal
N. Heess
Timothy Lillicrap
OffRL
356
528
0
23 Apr 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience ReplayInternational Conference on Learning Representations (ICLR), 2018
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
345
810
0
02 Mar 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games
  in 21 minutes
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes
Igor Adamski
R. Adamski
T. Grel
Adam Jedrych
Kamil Kaczmarek
Henryk Michalewski
OffRL
241
37
0
09 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning
RLlib: Abstractions for Distributed Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2017
Eric Liang
Richard Liaw
Philipp Moritz
Robert Nishihara
Roy Fox
Ken Goldberg
Joseph E. Gonzalez
Michael I. Jordan
Ion Stoica
OffRLAI4CE
470
178
0
26 Dec 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
715
874
0
28 Sep 2017
Deep Reinforcement Learning for High Precision Assembly Tasks
Deep Reinforcement Learning for High Precision Assembly TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2017
Tadanobu Inoue
Giovanni De Magistris
Asim Munawar
T. Yokoya
Ryuki Tachibana
398
291
0
14 Aug 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics
  Problems with Sparse Rewards
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Matej Vecerík
Todd Hester
Jonathan Scholz
Fumin Wang
Olivier Pietquin
Bilal Piot
N. Heess
Thomas Rothörl
Thomas Lampe
Martin Riedmiller
OffRL
453
742
0
27 Jul 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
1.5K
26,647
0
20 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
560
999
0
07 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
1.1K
2,649
0
05 Jul 2017
Guided Policy Search as Approximate Mirror Descent
Guided Policy Search as Approximate Mirror DescentNeural Information Processing Systems (NeurIPS), 2016
William H. Montgomery
Sergey Levine
196
128
0
15 Jul 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
777
4,322
0
18 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
1.5K
15,200
0
09 Sep 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Sai Li
Pieter Abbeel
1.2K
7,791
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
5.0K
164,701
0
22 Dec 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling TechniqueJournal of Artificial Intelligence Research (JAIR), 2002
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
2.1K
29,699
0
09 Jun 2011
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