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NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect
  Reasoning in Programmable Attractor Neural Networks

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks

11 November 2022
Gregory P. Davis
Garrett E. Katz
R. Gentili
J. Reggia
    NAI
ArXivPDFHTML

Papers citing "NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks"

15 / 15 papers shown
Title
Causal Imitation Learning with Unobserved Confounders
Causal Imitation Learning with Unobserved Confounders
Junzhe Zhang
D. Kumor
Elias Bareinboim
CML
62
75
0
12 Aug 2022
Causal Imitation Learning under Temporally Correlated Noise
Causal Imitation Learning under Temporally Correlated Noise
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
CML
36
30
0
02 Feb 2022
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
126
332
0
22 Aug 2019
MS-TCN: Multi-Stage Temporal Convolutional Network for Action
  Segmentation
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
Yazan Abu Farha
Juergen Gall
54
664
0
05 Mar 2019
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
83
840
0
16 Nov 2018
Rearranging the Familiar: Testing Compositional Generalization in
  Recurrent Networks
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
J. Loula
Marco Baroni
Brenden M. Lake
KELM
CoGe
42
131
0
19 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
218
0
11 May 2018
Neural-Guided Deductive Search for Real-Time Program Synthesis from
  Examples
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
Ashwin J. Vijayakumar
Abhishek Mohta
Oleksandr Polozov
Dhruv Batra
Prateek Jain
Sumit Gulwani
NAI
94
164
0
03 Apr 2018
A survey of robot learning from demonstrations for Human-Robot
  Collaboration
A survey of robot learning from demonstrations for Human-Robot Collaboration
Jangwon Lee
82
165
0
24 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
61
195
0
04 Oct 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video
  via Context Translation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
98
380
0
11 Jul 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
685
0
21 Mar 2017
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
91
1,485
0
16 Nov 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
131
3,101
0
10 Jun 2016
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
237
7,526
0
09 Jun 2014
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