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CDT: Cascading Decision Trees for Explainable Reinforcement Learning

CDT: Cascading Decision Trees for Explainable Reinforcement Learning

15 November 2020
Zihan Ding
Pablo Hernandez-Leal
G. Ding
Changjian Li
Ruitong Huang
ArXivPDFHTML

Papers citing "CDT: Cascading Decision Trees for Explainable Reinforcement Learning"

3 / 3 papers shown
Title
Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU
  Networks
Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU Networks
S. Orfanos
Levi H. S. Lelis
27
6
0
04 Aug 2023
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
66
5
0
15 Sep 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
1