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Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems

Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems

7 September 2022
Arne Gevaert
Jonathan Peck
Yvan Saeys
ArXivPDFHTML

Papers citing "Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems"

2 / 2 papers shown
Title
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
Particle Swarm Optimization for Generating Interpretable Fuzzy
  Reinforcement Learning Policies
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies
D. Hein
A. Hentschel
Thomas Runkler
Steffen Udluft
OffRL
28
79
0
19 Oct 2016
1