A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem
Ícaro Marcelino Miranda, Marcelo Ladeira, Claus de Castro Aranha · 2018
This paper presents a comparative study between two data mining techniques: Genetic Programming (GP) and Deep Learning (DL). This comparison will be based on the cart pole balancing problem. We also compared the results with Q-Learning (QL), a classic algorithm that is also used in hybridizations with GP an DL for reinforcement learning problems. Our results presented that GP can rival DL for this kind of problem.