Solving the pole balancing problem by means of assembler encoding

Article type: Research Article

Authors: Praczyk, Tomasz

Affiliations: Polish Naval Academy, Institute of Naval Weapon, Gdynia, Poland

Note: [] Corresponding author. Tomasz Praczyk, Polish Naval Academy, Institute of Naval Weapon, 81-103 Gdynia, Smidowicza 69, Poland. E-mail: [email protected]

Abstract: The neuro-evolution is a domain of artificial intelligence which uses the evolutionary approach to produce artificial neural networks. There are many neuro-evolutionary methods and one of them is Assembler Encoding. This paper compares Assembler Encoding with other methods from the range of neuro-evolution and and reinforcement learning. During comparison tests, the task was to form neuro-controllers for three variants of the inverted pendulum problem. The variants differed in the amount of information supplied to each neuro-controller and in the number of poles installed on a cart.

Keywords: Evolutionary neural networks

DOI: 10.3233/IFS-130777

Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 2, pp. 857-868, 2014