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Few-Shot Bayesian Imitation Learning with Logical Program Policies

Few-Shot Bayesian Imitation Learning with Logical Program Policies

12 April 2019
Tom Silver
Kelsey R. Allen
Alexander K. Lew
L. Kaelbling
J. Tenenbaum
    LM&Ro
ArXivPDFHTML

Papers citing "Few-Shot Bayesian Imitation Learning with Logical Program Policies"

15 / 15 papers shown
Title
Relational decomposition for program synthesis
Relational decomposition for program synthesis
Céline Hocquette
Andrew Cropper
67
4
0
22 Aug 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu
Chan-Hung Yu
Wei-Hsu Lee
Cheng-Wei Hung
Yen-Chun Chen
Shao-Hua Sun
79
4
0
26 May 2024
Beyond imitation: Zero-shot task transfer on robots by learning concepts
  as cognitive programs
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs
Miguel Lázaro-Gredilla
Dianhuan Lin
J. S. Guntupalli
Dileep George
LM&Ro
60
82
0
06 Dec 2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video
  Demonstration
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
49
140
0
10 Jul 2018
Leveraging Grammar and Reinforcement Learning for Neural Program
  Synthesis
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel
Matthew J. Hausknecht
Jacob Devlin
Rishabh Singh
Pushmeet Kohli
NAI
93
220
0
11 May 2018
Programmatically Interpretable Reinforcement Learning
Programmatically Interpretable Reinforcement Learning
Abhinav Verma
V. Murali
Rishabh Singh
Pushmeet Kohli
Swarat Chaudhuri
114
353
0
06 Apr 2018
DDCO: Discovery of Deep Continuous Options for Robot Learning from
  Demonstrations
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
S. Krishnan
Roy Fox
Ion Stoica
Ken Goldberg
56
82
0
15 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical
  Tasks
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu
Suraj Nair
Yuke Zhu
J. Gao
Animesh Garg
Li Fei-Fei
Silvio Savarese
64
195
0
04 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
88
783
0
28 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn
Tianhe Yu
Tianhao Zhang
Pieter Abbeel
Sergey Levine
SSL
117
561
0
14 Sep 2017
Learning to Infer Graphics Programs from Hand-Drawn Images
Learning to Infer Graphics Programs from Hand-Drawn Images
Kevin Ellis
Daniel E. Ritchie
Armando Solar-Lezama
J. Tenenbaum
NAI
72
227
0
30 Jul 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of
  Intuitive Physics
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Ken Kansky
Tom Silver
David A. Mély
Mohamed Eldawy
Miguel Lazaro-Gredilla
Xinghua Lou
N. Dorfman
Szymon Sidor
Scott Phoenix
Dileep George
AI4CE
69
233
0
14 Jun 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
77
686
0
21 Mar 2017
Neuro-Symbolic Program Synthesis
Neuro-Symbolic Program Synthesis
Emilio Parisotto
Abdel-rahman Mohamed
Rishabh Singh
Lihong Li
Dengyong Zhou
Pushmeet Kohli
NAI
108
322
0
06 Nov 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
683
37,843
0
20 May 2016
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