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1710.05421
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DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
15 October 2017
S. Krishnan
Roy Fox
Ion Stoica
Ken Goldberg
Re-assign community
ArXiv (abs)
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Papers citing
"DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations"
50 / 63 papers shown
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RT-H: Action Hierarchies Using Language
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398
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Language-guided Skill Learning with Temporal Variational Inference
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271
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Iterative Option Discovery for Planning, by Planning
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384
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Hierarchical Imitation Learning for Stochastic Environments
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Punit Shah
Paul Mougin
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Brandyn White
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206
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Multi-Stage Cable Routing through Hierarchical Imitation Learning
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Charles Xu
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Vinay P. Namboodiri
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490
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Vinay P. Namboodiri
351
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Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
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H. Su
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391
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Centralized Cooperative Exploration Policy for Continuous Control Tasks
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Chen Gong
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233
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Learning Options via Compression
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Emmy Liu
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276
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Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
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Krishan Rana
Ming Xu
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Michael Milford
Niko Sünderhauf
138
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Dichotomy of Control: Separating What You Can Control from What You Cannot
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Mengjiao Yang
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215
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Learning and Retrieval from Prior Data for Skill-based Imitation Learning
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Soroush Nasiriany
Tian Gao
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362
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Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
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Xintong Yang
Ze Ji
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127
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19 Jul 2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
Aditya Ganapathi
Peter R. Florence
Jacob Varley
Kaylee Burns
Ken Goldberg
Andy Zeng
324
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03 Mar 2022
A Versatile Agent for Fast Learning from Human Instructors
Yiwen Chen
Zedong Zhang
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Jiayi Tan
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123
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Transfering Hierarchical Structure with Dual Meta Imitation Learning
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Yizhou Jiang
F. Chen
178
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TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
International Conference on Learning Representations (ICLR), 2021
Mengjiao Yang
Sergey Levine
Ofir Nachum
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201
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27 Oct 2021
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
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Sertan Girgin
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Olivier Pietquin
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177
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19 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
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288
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Martin Riedmiller
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N. Heess
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166
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326
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13 Jul 2021
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
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Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
257
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25 May 2021
Learning Task Decomposition with Ordered Memory Policy Network
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Yucheng Lu
Songlin Yang
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Chuang Gan
206
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19 Mar 2021
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation
IEEE Robotics and Automation Letters (RA-L), 2021
Xiangyun Meng
Yu Xiang
Dieter Fox
166
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19 Feb 2021
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
AAAI Conference on Artificial Intelligence (AAAI), 2020
Zelin Zhao
Chuang Gan
Jiajun Wu
Xiaoxiao Guo
J. Tenenbaum
OffRL
319
5
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23 Dec 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Avi Singh
Huihan Liu
G. Zhou
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Nicholas Rhinehart
Sergey Levine
OffRL
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253
157
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19 Nov 2020
Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation
Mohit Sharma
Jacky Liang
Jialiang Zhao
A. LaGrassa
Oliver Kroemer
OCL
154
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09 Nov 2020
Behavior Priors for Efficient Reinforcement Learning
Journal of machine learning research (JMLR), 2020
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
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Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
226
46
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27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Anurag Ajay
Aviral Kumar
Pulkit Agrawal
Sergey Levine
Ofir Nachum
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384
182
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Provable Hierarchical Imitation Learning via EM
Zhiyu Zhang
I. Paschalidis
172
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Data-efficient Hindsight Off-policy Option Learning
International Conference on Machine Learning (ICML), 2020
Markus Wulfmeier
Dushyant Rao
Agrim Gupta
Thomas Lampe
A. Abdolmaleki
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Dhruva Tirumala
Noah Y. Siegel
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206
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Learning Robot Skills with Temporal Variational Inference
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273
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DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Stéphane Doncieux
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David Filliat
Timothy M. Hospedales
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Richard J. Duro
186
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Daniel Seita
Brijen Thananjeyan
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Danyal Fer
Thomas Low
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199
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Conditional Driving from Natural Language Instructions
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Chris Paxton
Andrzej Pronobis
Ali Farhadi
Dieter Fox
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193
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Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
International Conference on Learning Representations (ICLR), 2019
Suraj Nair
Chelsea Finn
VGen
181
143
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12 Sep 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
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Xue Bin Peng
Michael Chang
Grace Zhang
Pieter Abbeel
Sergey Levine
178
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23 May 2019
PLOTS: Procedure Learning from Observations using Subtask Structure
Tong Mu
Karan Goel
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58
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17 Apr 2019
Few-Shot Bayesian Imitation Learning with Logical Program Policies
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Kelsey R. Allen
Alexander K. Lew
L. Kaelbling
J. Tenenbaum
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222
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Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
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Hyeonwoo Noh
Alexandre Galashov
Leonard Hasenclever
Arun Ahuja
Greg Wayne
Razvan Pascanu
Yee Whye Teh
N. Heess
OffRL
157
45
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18 Mar 2019
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