Results for Interpretable fuzzy systems

Publications & Outputs

1. Interpretable policies for reinforcement learning by empirical fuzzy sets

   Huang, J., Angelov, P. P. & Yin, C., 31/05/2020, In: Engineering Applications of Artificial Intelligence. 91, 13 p., 103559.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review