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Learning to combine primitive skills: A step towards versatile robotic
  manipulation
v1v2v3 (latest)

Learning to combine primitive skills: A step towards versatile robotic manipulation

2 August 2019
Robin Strudel
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Josef Sivic
Cordelia Schmid
ArXiv (abs)PDFHTML

Papers citing "Learning to combine primitive skills: A step towards versatile robotic manipulation"

18 / 18 papers shown
Title
Learning to Augment Synthetic Images for Sim2Real Policy Transfer
Learning to Augment Synthetic Images for Sim2Real Policy Transfer
Alexander Pashevich
Robin Strudel
Igor Kalevatykh
Ivan Laptev
Cordelia Schmid
54
45
0
18 Mar 2019
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
99
811
0
21 May 2018
Latent Space Policies for Hierarchical Reinforcement Learning
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja
Kristian Hartikainen
Pieter Abbeel
Sergey Levine
BDL
74
193
0
09 Apr 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller
Roland Hafner
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
90
448
0
28 Feb 2018
Asymmetric Actor Critic for Image-Based Robot Learning
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OffRL
70
374
0
18 Oct 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
94
788
0
28 Sep 2017
Hindsight Experience Replay
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
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
I. Popov
N. Heess
Timothy Lillicrap
Roland Hafner
Gabriel Barth-Maron
Matej Vecerík
Thomas Lampe
Yuval Tassa
Tom Erez
Martin Riedmiller
OffRL
79
265
0
10 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa
Yan Duan
Pieter Abbeel
BDL
92
361
0
10 Apr 2017
DART: Noise Injection for Robust Imitation Learning
DART: Noise Injection for Robust Imitation Learning
Michael Laskey
Jonathan Lee
Roy Fox
Anca Dragan
Ken Goldberg
193
247
0
27 Mar 2017
One-Shot Imitation Learning
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
FeUdal Networks for Hierarchical Reinforcement Learning
FeUdal Networks for Hierarchical Reinforcement Learning
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
FedML
96
907
0
03 Mar 2017
Learning Dexterous Manipulation Policies from Experience and Imitation
Learning Dexterous Manipulation Policies from Experience and Imitation
Vikash Kumar
Abhishek Gupta
E. Todorov
Sergey Levine
72
84
0
15 Nov 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
159
3,119
0
10 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
71
1,137
0
20 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
168
5,535
0
09 Dec 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
325
13,272
0
09 Sep 2015
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stéphane Ross
J. Andrew Bagnell
OffRL
150
264
0
23 Jun 2014
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