Final project for Bio-inspired Intelligence and learning for Aerospace Applications
Each folder on this repository containes a different configuration of the environment as descrived on the written report. Each folder contains a saved state of the agent in the form of a .pth file, a python script to test this agent called test_rocket_(NUMBER OF CONFIGURATION).py and finally the python script used to train the model, containing the reward system definition for each configuration.