Evolutionary-Computing_Task-II

This is a group project which was done along with 4 other people. The codes involving NEAT was done by me and Fiona Gallagher. Training a generalist agent against multiple enemies in the game EvoMan using NEAT. The dependencies and all the other files in the evoman folder have to retained as such. A new generalist agent is trained using the evolutionary algorithm NeuroEvolution of Augmenting Topologies (NEAT). In this project python package NEAT is used. There are 8 eneimes the agent have to win against. In this code the agent is trained against enemies named, 'Flashman, Airman, Metalman, Quickman,Woodman and Heatman' numbered respectively as 1,2,3,4,5 and 8.