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Optimization Methods for Interpretable Differentiable Decision Trees in
  Reinforcement Learning
v1v2v3v4v5 (latest)

Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning

22 March 2019
I. D. Rodriguez
Taylor W. Killian
Ivan Dario Jimenez Rodriguez
Sung-Hyun Son
Matthew C. Gombolay
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning"

4 / 4 papers shown
Title
Why do tree-based models still outperform deep learning on tabular data?
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn
Edouard Oyallon
Gaël Varoquaux
LMTD
99
373
0
18 Jul 2022
Policy Optimization with Sparse Global Contrastive Explanations
Policy Optimization with Sparse Global Contrastive Explanations
Jiayu Yao
S. Parbhoo
Weiwei Pan
Finale Doshi-Velez
OffRL
48
2
0
13 Jul 2022
Feature-Based Interpretable Reinforcement Learning based on
  State-Transition Models
Feature-Based Interpretable Reinforcement Learning based on State-Transition Models
Omid Davoodi
Majid Komeili
FAttOffRL
61
6
0
14 May 2021
Interpretable Safety Validation for Autonomous Vehicles
Interpretable Safety Validation for Autonomous Vehicles
Anthony Corso
Mykel J. Kochenderfer
73
24
0
14 Apr 2020
1