Reinforcement Learning for Game AI

Reinforcement Learning (RL) allows game agents, like enemy NPCs or even player-controlled characters, to learn optimal behaviors by trial and error. The agent receives 'rewards' for desirable actions, such as defeating a boss or collecting an item, and 'penalties' for undesirable ones, helping it discover strategies through repeated gameplay.