Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

4 October 2017

Li Fei-Fei

Silvio Savarese

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Papers citing "Neural Task Programming: Learning to Generalize Across Hierarchical Tasks"

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Title
DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment Wendi Chen Han Xue Fangyuan Zhou Yuan Fang Cewu Lu 77 1 0 15 Oct 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 102 2 0 27 Aug 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations Bhishma Dedhia N. Jha OCL 96 1 0 02 Feb 2024
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks Bohan Wu Feng Xu Zhanpeng He Abhi Gupta Peter K. Allen OffRL 134 13 0 10 Mar 2020
Making Neural Programming Architectures Generalize via Recursion Jonathon Cai Richard Shin D. Song AI4CE LRM 62 146 0 21 Apr 2017
Multi-Level Discovery of Deep Options Roy Fox S. Krishnan Ion Stoica Ken Goldberg 52 124 0 24 Mar 2017
RobustFill: Neural Program Learning under Noisy I/O Jacob Devlin J. Uesato Surya Bhupatiraju Rishabh Singh Abdel-rahman Mohamed Pushmeet Kohli 72 390 0 21 Mar 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 77 686 0 21 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 76 1,015 0 09 Nov 2016
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 134 460 0 06 Nov 2016
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 138 281 0 06 Nov 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 82 397 0 22 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 61 1,521 0 16 Sep 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 62 1,082 0 16 Sep 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 99 2,004 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 349 7,316 0 13 Jun 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 124 380 0 25 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 68 1,134 0 20 Apr 2016
Neural GPUs Learn Algorithms Lukasz Kaiser Ilya Sutskever 79 369 0 25 Nov 2015
Neural Programmer-Interpreters Scott E. Reed Nando de Freitas 93 408 0 19 Nov 2015
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 129 1,071 0 09 Nov 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 97 2,327 0 20 Oct 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 210 3,211 0 02 Nov 2010