Using Aspect-Oriented Programming to Record DRL Agents' Data

Playtesting is one of the most important processes in game development. It helps with finding bugs, evaluating the game's UX, balancing the game, and, most importantly, assessing how fun it is. This is where a developer determines whether a game idea is good and discovers flaws to fix in their game. It is an iterative process that needs to be ongoing throughout the project, but it can be very time-consuming, and there are no reliable tools that automate some of this process.

PEAK aims to help with that problem, but by no means does it aim to replace playtesters. The idea behind the project is to develop a game engine with integrated deep reinforcement learning (DRL) agents that a designer can dispatch to test their game at any point.