Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

24 September 2020

Jorge Peña Queralta

Papers citing "Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey"

30 / 80 papers shown

Title
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization Jonathan Tremblay Aayush Prakash David Acuna M. Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield OOD 58 813 0 18 Apr 2018
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 47 2,002 0 10 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 222 8,236 0 04 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 61 1,862 0 02 Jan 2018
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control Mengyuan Yan I. Frosio Stephen Tyree Jan Kautz 47 38 0 08 Dec 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 124 5,111 0 10 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 127 2,992 0 08 Nov 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 104 1,079 0 28 Sep 2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping Konstantinos Bousmalis A. Irpan Paul Wohlhart Yunfei Bai Matthew Kelcey ... Julian Ibarz P. Pastor K. Konolige Sergey Levine Vincent Vanhoucke OOD 69 654 0 22 Sep 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 97 413 0 26 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 236 18,685 0 20 Jul 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles S. Shah Debadeepta Dey Chris Lovett Ashish Kapoor 77 1,976 0 15 May 2017
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 171 2,948 0 20 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 50 268 0 08 Mar 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis N. Silberman David Dohan D. Erhan Dilip Krishnan OOD GAN 133 1,534 0 16 Dec 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 70 974 0 17 Nov 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 66 532 0 13 Oct 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 54 1,516 0 16 Sep 2016
Domain Separation Networks Konstantinos Bousmalis George Trigeorgis N. Silberman Dilip Krishnan D. Erhan OOD 91 1,442 0 22 Aug 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 177 5,056 0 05 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 166 8,805 0 04 Feb 2016
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 53 687 0 19 Nov 2015
Return of Frustratingly Easy Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 60 1,831 0 17 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 64 1,367 0 08 Oct 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 193 13,174 0 09 Sep 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 345 9,418 0 28 May 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 245 6,722 0 19 Feb 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 197 5,177 0 10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 151 2,588 0 10 Dec 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 166 3,196 0 02 Nov 2010