Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning

Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son. Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. In Silvia Chiappa, Roberto Calandra, editors, The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. Volume 108 of Proceedings of Machine Learning Research, pages 1855-1865, PMLR, 2020. [doi]

Abstract

Abstract is missing.