Improving the interpretability of deep reinforcement learning in urban drainage system operation

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations

Computing, Computer Science, Artificial Intelligence +8

From local explanations to global understanding with explainable AI for trees

Scott Lundberg, Gabriel Erion, Hugh Chen et al. · Nature Machine Intelligence · 2020 · 8.9K citations · Full text

Computing, Computer Science, Data Science +16

Reinforcement Learning: An Introduction

Jeffrey D. Johnson, Jinghong Li, Zengshi Chen · Neurocomputing · 2000 · 8.7K citations

Computing, Behavioral Sciences, Computer Science +12

Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

I. M. Sobol · Mathematics and Computers in Simulation · 2001 · 6.1K citations

Business, Biostatistics, Mathematics +15

Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index

Andrea Saltelli, Paola Annoni, Ivano Azzini et al. · Computer Physics Communications · 2009 · 3.3K citations

Computing, Systems Engineering, Optimization +14