Objectives
- Use Genetic Algorithms to solve the Capacitated Vehicle Routing Problem (CVRP) optimisation problem.
- Use Q-learning agent (Reinforcement Learning algorithm) to learn to play tic-tac-toe against random agent
Approach Taken
- Implemented code to run learning algorithms
- Implemented code to put results to file, so performance can be graphed.
- Explored parameters for algorithms and used graphs to compare performance.
Learning Outcomes
From this project, I gained a better understanding the value of measuring metrics.