This scenario is my first attempt to write a Unity3D interface using Unity3D's ML-Agents package.
The player votes on bills to change the law to its preference. In this scenario, the only preference is a target price for energy. The only effects that a bill can have are to increase, decrease, or set the price. Only the system can propose a bill. The only actions that a player can take are to vote or not vote.
In each game, the preferred price, initial price, and the bill effects are random.
Technical proof of concept showing integration of:
Unity's ML-Agents AI 15.1
Create an initial framework for voting based on player preferences.
Train an AI neural network to understand voting based on its preferences.
A bill is proposed by the system. The bill can:
Increase the price
Decrease the price
Set the price
For each bill, the player's options are to:
If the bill passes:
Then it becomes a law, and the current price is modified.
Other wise, nothing happens
The player's score is updated.
Good move points are given for:
Moving the price closer to the player's preference.
Bad move points are given for:
Moving the price farther from the player's preference.
Number of bad moves
The ratio of good moves to bad moves