A Practical Approach to Insertion with Variable Socket Position Using
Deep Reinforcement Learning

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A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning

2 October 2018

Oleg O. Sushkov

Thomas Rothörl

Jonathan Scholz

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Papers citing "A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning"

13 / 63 papers shown

Title
Weakly-Supervised Reinforcement Learning for Controllable BehaviorNeural Information Processing Systems (NeurIPS), 2020 Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 200 26 0 06 Apr 2020
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing M. Akbulut Erhan Öztop M. Yunus Seker Y. Nagai Ahmet E. Tekden Emre Ugur 172 2 0 25 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 303 130 0 24 Mar 2020
Assembly robots with optimized control stiffness through reinforcement learning M. Oikawa Kyo Kutsuzawa S. Sakaino T. Tsuji 63 4 0 27 Feb 2020
Learning Precise 3D Manipulation from Multiple Uncalibrated CamerasIEEE International Conference on Robotics and Automation (ICRA), 2020 Iretiayo Akinola Jacob Varley Dmitry Kalashnikov SSL 183 32 0 21 Feb 2020
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci RobotInternational Symposium on Medical Robotics (ISMR), 2020 M. Hwang Daniel Seita Brijen Thananjeyan Jeffrey Ichnowski Samuel Paradis Danyal Fer Thomas Low Ken Goldberg 184 33 0 15 Feb 2020
Positive-Unlabeled Reward LearningConference on Robot Learning (CoRL), 2019 Danfei Xu Misha Denil 216 44 0 01 Nov 2019
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations Daniel Seita David M. Chan Roshan Rao Chen Tang Mandi Zhao John F. Canny 112 12 0 26 Oct 2019
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control Jonathan D. Chang Nishanth Kumar Sean P. Hastings Aaron Gokaslan Diego Romeres Devesh K. Jha D. Nikovski George Konidaris Stefanie Tellex 182 10 0 23 Oct 2019
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi Sergio Gomez Colmenarejo Alexander Novikov Ksenia Konyushkova Scott E. Reed ... David Barker Jonathan Scholz Misha Denil Nando de Freitas Ziyun Wang OffRL 222 30 0 26 Sep 2019
Composing Diverse Policies for Temporally Extended TasksIEEE Robotics and Automation Letters (RA-L), 2019 Daniel Angelov Yordan V. Hristov Michael G. Burke S. Ramamoorthy 213 18 0 18 Jul 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 245 607 0 29 Apr 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 245 275 0 16 Apr 2019