About US
iTower - a clever agent who can learn how to play tower defense game
Who we are?
We are iTower team from USC CS department.
What we did in this project?
The goal for this project is to create an agent that could learn to play the game wisely. Based on the aspects of current gold , current monsters, towers, the agent should conduct the following possible behaviors: placing towers at proper time and location, selecting the proper types of towers, upgrading properties of the towers.
What tools are we using?
-Keras
-TensorFlow 2
-Anaconda
-Python 3.7
-Unity
-C#
Current Progress
- Several necessary modifications of the original game, such as monster routes, tower placement. Details could be found in Methodology - Game Design.
- The setup of a reliable network for the game and the python agent transmitting data between each other via TCP. Details could be found in Methodology - Communication Design.
- An efficient method to collect the raw data from the gameplay. Details could be found in Methodology - Raw Data Collection.
- An efficient method to pre-process and label the collected data. Details could be found in Methodology - Data Pre-processing and Labeling.
- The proper application of TensorFlow 2.0 (Keras) and Convolutional Neural Network (CNN) for the game project. Details could be found in Methodology - Machine Learning Design.
Game Concept
This 2D tower defense game is developed in Unity (C#). In this game, Monsters walk from the blue portal on the top left to the red portal on the bottom right. And the player needs to use coins (collected by killing monsters) to purchase different types of towers and place the tower properly to prevent monsters from reaching to the end of the road.
Target Audience
All age groups
Genres
iTower project is based on a single-player, 2D, tower defense game.
Objective
To reach the next level, the player current life must remain greater than 0 after the last monster of this level is exterminated or arrives at its destination.
