Scalable Multi-Task Imitation Learning with Autonomous Improvement

25 February 2020

Papers citing "Scalable Multi-Task Imitation Learning with Autonomous Improvement"

25 / 25 papers shown

Title
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space Heramb Nemlekar Robert Ramirez Sanchez Dylan P. Losey 91 3 0 22 Jul 2024
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 68 49 0 07 Jun 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 82 549 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 77 267 0 16 Apr 2019
Unsupervised Visuomotor Control through Distributional Planning Networks Tianhe Yu Gleb Shevchuk Dorsa Sadigh Chelsea Finn SSL OffRL 61 42 0 14 Feb 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 141 2,445 0 13 Dec 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 67 25 0 11 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 74 136 0 08 Oct 2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration De-An Huang Suraj Nair Danfei Xu Yuke Zhu Animesh Garg Li Fei-Fei Silvio Savarese Juan Carlos Niebles 64 140 0 10 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 128 1,470 0 27 Jun 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning Tianhe Yu Chelsea Finn Annie Xie Sudeep Dasari Tianhao Zhang Pieter Abbeel Sergey Levine 67 361 0 05 Feb 2018
Hindsight policy gradients Paulo E. Rauber Avinash Ummadisingu Filipe Wall Mutz J. Schmidhuber 59 68 0 16 Nov 2017
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 96 660 0 12 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 121 1,961 0 19 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 126 566 0 14 Sep 2017
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration Rouhollah Rahmatizadeh P. Abolghasemi Ladislau Bölöni Sergey Levine 100 258 0 10 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 271 2,337 0 05 Jul 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 82 688 0 21 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 132 235 0 03 Mar 2017
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 99 1,027 0 09 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 159 3,119 0 10 Jun 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 951 0 01 Mar 2016
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 80 406 0 17 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,261 0 19 Dec 2013