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Game with Procedural Enemies
Teplan, Kristof ; Pečiva, Jan (oponent) ; Milet, Tomáš (vedoucí práce)
Procedural content generation has gained significant popularity, particularly in the video game industry. However, the area of procedural enemy generation in games remains relatively unexplored. This thesis focuses on the development of a rogue-like 2D game where the player battles against procedurally generated robots. The game is implemented in Unity Engine, utilizing a custom matrix L-system to generate robots from blocks with various functionalities. The artificial intelligence of the robots is powered by a neural network trained using reinforcement learning with the Unity ML-Agents toolkit. All systems are integrated into a final game that captures the classic features of the rogue-like genre.

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