Basic simulation and evaluation
In this playground we will learn how to make a good AI using a search-based approach that will decide what to do by comparing different movement solutions rather than trying to find a relation between some key game objects and the direction of where to go. We will be trying this algorithm on a multiplayer game Coders Strike Back.
- Learning basic vectors
- Writing classes for the game objects
- Additional functions for simulating single pod's movement
- Full turn simulation function
- Implementing Random search (or Monte-Carlo)
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