Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

10 April 2017

Martin Riedmiller

Papers citing "Data-efficient Deep Reinforcement Learning for Dexterous Manipulation"

33 / 133 papers shown

Title
Composing Entropic Policies using Divergence Correction Jonathan J. Hunt André Barreto Timothy Lillicrap N. Heess 24 2 0 05 Dec 2018
Modulated Policy Hierarchies Alexander Pashevich Danijar Hafner James Davidson Rahul Sukthankar Cordelia Schmid 24 6 0 30 Nov 2018
Exploring Restart Distributions Arash Tavakoli Vitaly Levdik Riashat Islam Christopher M. Smith Petar Kormushev OffRL 11 5 0 27 Nov 2018
Multiparty Dynamics and Failure Modes for Machine Learning and Artificial Intelligence David Manheim 9 21 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL T. Paine Sergio Gomez Colmenarejo Ziyun Wang Scott E. Reed Y. Aytar ... Matthew W. Hoffman Gabriel Barth-Maron Serkan Cabi David Budden Nando de Freitas OffRL 22 26 0 11 Oct 2018
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning Mel Vecerík Oleg O. Sushkov David Barker Thomas Rothörl Todd Hester Jonathan Scholz 19 110 0 02 Oct 2018
Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images Yuval Litvak Armin Biess Aharon Bar-Hillel 16 40 0 27 Sep 2018
Automata Guided Reinforcement Learning With Demonstrations Xiao Li Yao Ma C. Belta OffRL 27 11 0 17 Sep 2018
Proximal Policy Optimization and its Dynamic Version for Sequence Generation Yi-Lin Tuan Jinzhi Zhang Yujia Li Hung-yi Lee 18 10 0 24 Aug 2018
Region Growing Curriculum Generation for Reinforcement Learning Artem Molchanov Karol Hausman Stan Birchfield Gaurav Sukhatme 40 2 0 04 Jul 2018
Adversarial Learning of Task-Oriented Neural Dialog Models Bing-Quan Liu Ian Lane OffRL 4 39 0 30 May 2018
Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan TB Dhruva Alistair Muldal N. Heess Timothy Lillicrap OffRL 52 477 0 23 Apr 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 13 563 0 27 Mar 2018
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning Michel Breyer Fadri Furrer Tonci Novkovic Roland Siegwart Juan I. Nieto SSL OffRL 29 47 0 13 Mar 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine OOD OffRL 35 202 0 28 Feb 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 34 316 0 26 Feb 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 34 5,069 0 26 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 40 117 0 21 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 28 8,158 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 50 1,105 0 02 Jan 2018
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control Mengyuan Yan I. Frosio Stephen Tyree Jan Kautz 33 38 0 08 Dec 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 45 125 0 27 Nov 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel OffRL 44 771 0 28 Sep 2017
Expanding Motor Skills through Relay Neural Networks Visak C. V. Kumar Sehoon Ha Chenxi Liu 20 2 0 22 Sep 2017
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks Aditya Gudimella Ross Story M. Shaker Ruofan Kong Matthew A. Brown Victor Shnayder Marcos Campos 34 24 0 20 Sep 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 17 867 0 16 Aug 2017
Deep Reinforcement Learning for High Precision Assembly Tasks Tadanobu Inoue Giovanni De Magistris Asim Munawar T. Yokoya Ryuki Tachibana 24 267 0 14 Aug 2017
Reverse Curriculum Generation for Reinforcement Learning Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel 36 436 0 17 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 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 90 2,296 0 05 Jul 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017