Now that you have decided to use deep learning and/or deep reinforcement learning for your game, it is time to determine how you plan to implement various functionality in your game. In order to do that, we are going to go through a table outlining the steps you need to go through in order to build your game's AI agent:
|
Step |
Action |
Summary |
| Start | Determine at what level you want the AI in the game to operate, from basic, perhaps for just testing and simple automation, to advanced, where the AI will complete against the player. | Determine the level of AI. |
| Resourcing | Determine the amount of resources. Basic AI or automation could be handled within the team itself, whereas more complex AI may require one or many experienced members of staff. | Team requirements. |
| Knowledge | Determine the level of knowledge the team possesses and what will be required... |
