Hierarchical_Coverage_Path_Planning

Complete version of the code can be found at TSPCPP folder.

The training code can be ran by typing the code python main.py.

To do list:

1. Increasing the number of features helps training.
2. Compare trained model with the baseline algorithms. Candidates for the algorithms include LKH, OR-tools, DP, Genetic Algorithm (GA).