Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer

22 September 2016

Abhishek Gupta

Pieter Abbeel

Papers citing "Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer"

38 / 88 papers shown

Title
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 32 30 0 08 Jun 2020
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands Liam Schramm A. Sintov Abdeslam Boularias 33 6 0 21 May 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 177 0 30 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 25 41 0 03 Mar 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,175 0 19 Jan 2020
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning Marvin Chancán Michael Milford SSL 27 5 0 10 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 57 532 0 26 Sep 2019
Inferring and Learning Multi-Robot Policies by Observing an Expert Pietro Pierpaoli Harish Ravichandar Nicholas R. Waytowich Anqi Li Derrik E. Asher M. Egerstedt 18 2 0 17 Sep 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy V. Koltun Davide Scaramuzza 36 209 0 21 May 2019
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking Siqi Zhou Andriy Sarabakha Erdal Kayacan M. Helwa Angela P. Schoellig 41 13 0 30 Mar 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 43 161 0 30 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 28 114 0 18 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 21 102 0 24 Nov 2018
Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation Dafni Antotsiou Guillermo Garcia-Hernando Tae-Kyun Kim 35 74 0 03 Oct 2018
Learning Quickly to Plan Quickly Using Modular Meta-Learning Rohan Chitnis L. Kaelbling Tomás Lozano-Pérez 22 26 0 20 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
A Framework for Robot Manipulation: Skill Formalism, Meta Learning and Adaptive Control Lars Johannsmeier Malkin Gerchow Sami Haddadin 21 109 0 22 May 2018
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations Jonathan Tremblay Thang To Artem Molchanov Stephen Tyree Jan Kautz Stan Birchfield 27 36 0 18 May 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 37 224 0 25 Apr 2018
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 39 316 0 31 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 26 36 0 20 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 25 45 0 11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 39 120 0 10 Mar 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 29 56 0 13 Feb 2018
Cascade Attribute Learning Network Zhuo Xu Haonan Chang Masayoshi Tomizuka 33 4 0 24 Nov 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu Suraj Nair Yuke Zhu J. Gao Animesh Garg Li Fei-Fei Silvio Savarese 25 193 0 04 Oct 2017
Learning to Roam Free from Small-Space Autonomous Driving with A Path Planner Sascha Hornauer K. Zipser Stella X. Yu 18 0 0 29 Sep 2017
Multi-Robot Transfer Learning: A Dynamical System Perspective M. Helwa Angela P. Schoellig 44 39 0 27 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
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 101 2,297 0 05 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 31 269 0 15 Jun 2017
Cross-Domain Perceptual Reward Functions Ashley D. Edwards Srijan Sood Charles Isbell 27 7 0 25 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 47 360 0 10 Apr 2017
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 35 68 0 01 Dec 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 35 1,008 0 09 Nov 2016
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 27 458 0 06 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies Fangyi Zhang Jurgen Leitner Michael Milford Peter Corke 34 39 0 21 Oct 2016