A game based on popular "Hill Climb Racing".
In contrary to original version a car can be controlled by a human player and an AI agent.
An agent learns how to drive using the Q-Learning algorithm. Maps are difficult enough so that they can't be driven by just accelerating right. There are two types of them: a flipped Gaussian curve and randomly generated. Of course, randomly generated maps are different every time.
An application can be controlled with a command line and standard keyboard input.
Available commands are displayed in the terminal after starting a program. Later after typing executing help.
In my project I used following libraries and published source code contains them: OpenGL, GLFW, glad stb_image.h, FreeType. Fragments of code are from https://learnopengl.com/
To start an application run following file:
Release/HillClimbReinforcementLearning.exe
Screen from the game