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Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience

12 October 2018

Papers citing "Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience"

46 / 296 papers shown

Title
Deep Reinforcement Learning with Linear Quadratic Regulator Regions Gabriel I. Fernandez Colin Togashi Dennis W. Hong Lin Yang 39 4 0 23 Feb 2020
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras Iretiayo Akinola Jacob Varley Dmitry Kalashnikov SSL 78 30 0 21 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 95 174 0 20 Feb 2020
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization M. Kaspar J. D. M. Osorio J. Bock 88 100 0 19 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization Sharath Chandra Raparthy Bhairav Mehta Florian Golemo Liam Paull 87 8 0 18 Feb 2020
DISCO: Double Likelihood-free Inference Stochastic Control Lucas Barcelos Rafael Oliveira Rafael Possas Lionel Ott Fabio Ramos 61 11 0 18 Feb 2020
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics David Millard Eric Heiden Shubham Agrawal Gaurav Sukhatme AI4CE 77 13 0 22 Jan 2020
Information Theoretic Model Predictive Q-Learning M. Bhardwaj Ankur Handa Dieter Fox Byron Boots 80 23 0 31 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 87 28 0 18 Dec 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving Rupert Mitchell Jenny Fletcher Jacopo Panerati Amanda Prorok 89 17 0 26 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 98 124 0 17 Nov 2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient K. Luck Mel Vecerík Simon Stepputtis H. B. Amor Jonathan Scholz 39 11 0 15 Nov 2019
Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery Maryam Fazel-Zarandi Longshaokan Wang Aditya Tiwari Spyros Matsoukas 41 14 0 08 Nov 2019
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning Diego Ferigo Silvio Traversaro Giorgio Metta Daniele Pucci 74 26 0 05 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 75 57 0 05 Nov 2019
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller Radoslav Ivanov Taylor J. Carpenter James Weimer Rajeev Alur George J. Pappas Insup Lee 78 82 0 24 Oct 2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation Rae Jeong Y. Aytar D. Khosid Yuxiang Zhou Jackie Kay Thomas Lampe Konstantinos Bousmalis F. Nori SSL 48 58 0 21 Oct 2019
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control Lukás Hermann Max Argus Andreas Eitel Artemij Amiranashvili Wolfram Burgard Thomas Brox 79 24 0 17 Oct 2019
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 144 1,235 0 16 Oct 2019
Learning to Generate 6-DoF Grasp Poses with Reachability Awareness Xibai Lou Yang Yang Changhyun Choi 65 29 0 14 Oct 2019
Self-Paced Contextual Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Jan Peters 75 49 0 07 Oct 2019
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes M. Bajracharya James Borders D. Helmick Thomas Kollar Michael Laskey ... A. Ochiai Josh Petersen K. Shankar Kevin Stone Yutaka Takaoka 86 30 0 30 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 149 358 0 25 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 104 27 0 17 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 173 106 0 16 Sep 2019
A Transition-Aware Method for the Simulation of Compliant Contact with Regularized Friction Alejandro M. Castro Ante Qu Naveen Kuppuswamy A. Alspach Michael Sherman 61 19 0 12 Sep 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer Adam Allevato Elaine Schaertl Short Mitch Pryor A. Thomaz 141 54 0 25 Jul 2019
Vid2Param: Modelling of Dynamics Parameters from Video Martin Asenov Michael G. Burke Daniel Angelov Todor Davchev Kartic Subr S. Ramamoorthy VGen 47 5 0 15 Jul 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression Rika Antonova Akshara Rai Tianyu Li Danica Kragic DRL 120 19 0 10 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning Fabio Muratore Michael Gienger Jan Peters 73 61 0 10 Jul 2019
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators F. Ramos Rafael Possas Dieter Fox 62 158 0 04 Jun 2019
Learning Domain Randomization Distributions for Training Robust Locomotion Policies Melissa Mozifian J. A. G. Higuera David Meger Gregory Dudek OOD 43 7 0 02 Jun 2019
Interactive Differentiable Simulation Eric Heiden David Millard Hejia Zhang Gaurav Sukhatme OOD AI4CE PINN 94 50 0 26 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 80 24 0 20 May 2019
Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations Dean Zadok Tom Hirshberg Amir Biran Kira Radinsky Ashish Kapoor 67 13 0 15 May 2019
Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar Aayush Prakash Ming-Yuan Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 149 252 0 25 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 90 265 0 09 Apr 2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? Q. Vuong Sharad Vikram H. Su Sicun Gao Henrik I. Christensen OOD 84 49 0 28 Mar 2019
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions Xiao Li C. Belta 46 41 0 23 Mar 2019
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering A. Tanwani Nitesh Mor John Kubiatowicz Joseph E. Gonzalez Ken Goldberg 133 81 0 22 Mar 2019
Sim-to-Real Transfer for Biped Locomotion Wenhao Yu Visak C. V. Kumar Greg Turk Chenxi Liu 62 115 0 04 Mar 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks Stephen James Paul Wohlhart Mrinal Kalakrishnan Dmitry Kalashnikov A. Irpan Julian Ibarz Sergey Levine R. Hadsell Konstantinos Bousmalis 119 450 0 18 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 103 155 0 06 Jul 2018
Data-Augmented Contact Model for Rigid Body Simulation Yifeng Jiang Jiazheng Sun Chenxi Liu PINN 87 22 0 11 Mar 2018
Multi-Fidelity Reinforcement Learning with Gaussian Processes Varun Suryan Nahush Gondhalekar Pratap Tokekar 52 3 0 18 Dec 2017