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cs.LG2020
Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems
Yashesh Dhebar, Kalyanmoy Deb, Subramanya Nageshrao +2
Black-box AI induction methods such as deep reinforcement learning (DRL) are increasingly being used to find optimal policies for a given control task. Although policies represente…
cs.LG2020
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods
Yashesh Dhebar, Sparsh Gupta, Kalyanmoy Deb
Classification of datasets into two or more distinct classes is an important machine learning task. Many methods are able to classify binary classification tasks with a very high a…
cs.LG2020
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems
Yashesh Dhebar, Kalyanmoy Deb
For supervised classification problems involving design, control, other practical purposes, users are not only interested in finding a highly accurate classifier, but they also dem…