Assessing Transferability from Simulation to Reality for Reinforcement
Learning

Assessing Transferability from Simulation to Reality for Reinforcement Learning

10 July 2019

Michael Gienger

Jan Peters

Papers citing "Assessing Transferability from Simulation to Reality for Reinforcement Learning"

19 / 19 papers shown

Title
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 80 503 0 12 Oct 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 127 1,874 0 01 Aug 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 53 359 0 20 Jun 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 75 451 0 28 Feb 2018
Asymmetric Actor Critic for Image-Based Robot Learning Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel OffRL 67 370 0 18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 99 1,363 0 18 Oct 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 80 654 0 22 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 446 18,931 0 20 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 245 2,326 0 05 Jul 2017
Unlocking the Potential of Simulators: Design with RL in Mind Rika Antonova S. Cruciani 42 2 0 08 Jun 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 234 2,964 0 20 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 93 854 0 08 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 86 276 0 08 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 73 307 0 08 Feb 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 300 814 0 13 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 72 533 0 13 Oct 2016
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran Sarvjeet Ghotra Balaraman Ravindran Sergey Levine 159 351 0 05 Oct 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 314 13,234 0 09 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014