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Continual Domain Randomization

Continual Domain Randomization

18 March 2024
Josip Josifovski
Sayantan Auddy
M. Malmir
J. Piater
Alois C. Knoll
Nicolás Navarro
ArXiv (abs)PDFHTML

Papers citing "Continual Domain Randomization"

18 / 18 papers shown
Title
Scalable and Efficient Continual Learning from Demonstration via a
  Hypernetwork-generated Stable Dynamics Model
Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics Model
Sayantan Auddy
Jakob J. Hollenstein
Matteo Saveriano
Antonio Rodríguez-Sánchez
J. Piater
80
7
0
06 Nov 2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust
  Sim2Real Policy Transfer in Robot Control
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
M. Malmir
Josip Josifovski
Noah Klarmann
Alois C. Knoll
75
2
0
15 Jun 2023
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement
  Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Yongle Luo
Yuxin Wang
Kun Dong
Qiaosheng Zhang
Erkang Cheng
Zhiyong Sun
Bo Song
62
18
0
01 Aug 2022
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Gabriele Tiboni
Karol Arndt
Ville Kyrki
43
27
0
20 Jan 2022
Robot Learning from Randomized Simulations: A Review
Robot Learning from Randomized Simulations: A Review
Fabio Muratore
Fabio Ramos
Greg Turk
Wenhao Yu
Michael Gienger
Jan Peters
AI4CE
104
82
0
01 Nov 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
109
324
0
25 Dec 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a
  Survey
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
OffRL
201
742
0
24 Sep 2020
Smooth Exploration for Robotic Reinforcement Learning
Smooth Exploration for Robotic Reinforcement Learning
Antonin Raffin
Jens Kober
F. Stulp
71
58
0
12 May 2020
Sim2Real Transfer for Reinforcement Learning without Dynamics
  Randomization
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization
M. Kaspar
J. D. M. Osorio
J. Bock
70
100
0
19 Feb 2020
Solving Rubik's Cube with a Robot Hand
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
121
1,232
0
16 Oct 2019
Active Domain Randomization
Active Domain Randomization
Bhairav Mehta
Manfred Diaz
Florian Golemo
C. Pal
Liam Paull
71
264
0
09 Apr 2019
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
129
889
0
16 May 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
114
1,367
0
18 Oct 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
544
19,296
0
20 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
264
2,973
0
20 Mar 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,572
0
02 Dec 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
83
2,465
0
15 Jun 2016
Policy Distillation
Policy Distillation
Andrei A. Rusu
Sergio Gomez Colmenarejo
Çağlar Gülçehre
Guillaume Desjardins
J. Kirkpatrick
Razvan Pascanu
Volodymyr Mnih
Koray Kavukcuoglu
R. Hadsell
100
696
0
19 Nov 2015
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