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Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning
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Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning

I. D. Rodriguez
Taylor W. Killian
Ivan Dario Jimenez Rodriguez
Sung-Hyun Son
Matthew C. Gombolay
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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