Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model

11 October 2016

Pieter Abbeel

Papers citing "Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model"

45 / 45 papers shown

Title
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 42 10 0 05 Sep 2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control M. Malmir Josip Josifovski Noah Klarmann Alois C. Knoll 37 2 0 15 Jun 2023
Convex Optimization-based Policy Adaptation to Compensate for Distributional Shifts Navid Hashemi Justin Ruths Jyotirmoy V. Deshmukh 29 0 0 05 Apr 2023
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu Hao Liu Aditya Grover Pieter Abbeel OffRL 50 45 0 23 Nov 2022
UniMASK: Unified Inference in Sequential Decision Problems Micah Carroll Orr Paradise Jessy Lin Raluca Georgescu Mingfei Sun ... Stephanie Milani Katja Hofmann Matthew J. Hausknecht Anca Dragan Sam Devlin OffRL 26 21 0 20 Nov 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 26 62 0 15 Oct 2022
Auto-Encoding Adversarial Imitation Learning Kaifeng Zhang Rui Zhao Ziming Zhang Yang Gao 24 1 0 22 Jun 2022
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers Micah Carroll Jessy Lin Orr Paradise Raluca Georgescu Mingfei Sun ... Stephanie Milani Katja Hofmann Matthew J. Hausknecht Anca Dragan Sam Devlin OffRL 40 10 0 28 Apr 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning Hongpeng Cao Mirco Theile Federico G. Wyrwal Marco Caccamo 43 6 0 04 Mar 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 43 1 0 14 Jan 2022
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics Ingmar Schubert Danny Driess Ozgur S. Oguz Marc Toussaint OffRL 22 1 0 15 Nov 2021
GrowSpace: Learning How to Shape Plants Yasmeen Hitti Ionelia Buzatu Manuel Del Verme M. Lefsrud Florian Golemo A. Durand 19 2 0 15 Oct 2021
Understanding Domain Randomization for Sim-to-real Transfer Xiaoyu Chen Jiachen Hu Chi Jin Lihong Li Liwei Wang 24 112 0 07 Oct 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 31 36 0 08 Jun 2021
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 24 11 0 20 Oct 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer H. Bassani R. A. Delgado J. N. D. O. L. Junior H. R. Medeiros Pedro H. M. Braga Mateus G. Machado L. H. C. Santos Alain Tapp 10 9 0 18 Aug 2020
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands Liam Schramm A. Sintov Abdeslam Boularias 33 6 0 21 May 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 19 121 0 07 Apr 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 114 79 0 02 Mar 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 506 0 23 Dec 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving Rupert Mitchell Jenny Fletcher Jacopo Panerati Amanda Prorok 30 17 0 26 Nov 2019
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles Aditya Modi Nan Jiang Ambuj Tewari Satinder Singh 17 129 0 23 Oct 2019
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals Anahita Mohseni-Kabir David Isele K. Fujimura 24 11 0 27 Sep 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Few-shot Adaptive Faster R-CNN Tao Wang Xiaopeng Zhang Li-xin Yuan Jiashi Feng ObjD 23 131 0 22 Mar 2019
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors Artem Molchanov Tao Chen Wolfgang Hönig James A. Preiss Nora Ayanian Gaurav Sukhatme 24 107 0 11 Mar 2019
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control Zhuo Xu Chen Tang Masayoshi Tomizuka OffRL 27 35 0 07 Dec 2018
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 10 498 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 26 1,855 0 01 Aug 2018
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention Chao Yang Taehwan Kim Ruizhe Wang Hao Peng C.-C. Jay Kuo 28 51 0 16 Jun 2018
Data-driven Policy Transfer with Imprecise Perception Simulation M. Pecka Karel Zimmermann Matěj Petrlík Tomáš Svoboda 22 11 0 05 Apr 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 62 338 0 07 Jan 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 67 1,341 0 18 Oct 2017
A New Data Source for Inverse Dynamics Learning Daniel Kappler Franziska Meier Nathan D. Ratliff S. Schaal 21 19 0 06 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 62 2,776 0 19 Aug 2017
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 16 60 0 25 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 51 551 0 19 Jul 2017
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention William Saunders Girish Sastry Andreas Stuhlmuller Owain Evans OffRL 24 229 0 17 Jul 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 20 489 0 03 May 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis N. Silberman David Dohan D. Erhan Dilip Krishnan OOD GAN 86 1,529 0 16 Dec 2016
A Differentiable Physics Engine for Deep Learning in Robotics Jonas Degrave Michiel Hermans J. Dambre Francis Wyffels PINN AI4CE 21 226 0 05 Nov 2016
From virtual demonstration to real-world manipulation using LSTM and MDN Rouhollah Rahmatizadeh P. Abolghasemi Aman Behal Ladislau Bölöni 32 14 0 12 Mar 2016