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Approximate Inverse Reinforcement Learning from Vision-based Imitation
  Learning

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning

17 April 2020
Keuntaek Lee
Bogdan I. Vlahov
Jason Gibson
James M. Rehg
Evangelos A. Theodorou
ArXivPDFHTML

Papers citing "Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning"

4 / 4 papers shown
Title
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient
  Sensorimotor Policy Learning
Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning
Andrea Tagliabue
Jonathan P. How
26
5
0
18 Oct 2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement
  Learning
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning
Keuntaek Lee
David Isele
Evangelos A. Theodorou
S. Bae
26
24
0
17 Jan 2022
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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