We compared each model by looking at their average scores (after training), where the score equals the furthest distance traveled by the agent in a game. We evaluated the performance of a minimax agent, a Q-learning agent, and a Q-learning agent with function approximation. Central to the goal of our project is the implementation of several different agents to tackle Crossy Road, a modern mobile game similar to Frogger. In recent years, many AI breakthroughs have been demonstrated through video games. You're welcome to fork this repository over to implement more tweaks and algorithms to play this Crossy Road game! Introduction
A project made to explore the differences between various artificial intelligent techniques to score as many points as possible with Crossy Road.
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