Show HN: Jevman – AI decision models play Pac-Man
Jevman, a new project posted on Hacker News, demonstrates how artificial‑intelligence decision models can control a Pac‑Man game. The system uses reinforcement learning to navigate the maze, learn from rewards, and improve its gameplay over time. Developers can download the code to experiment with AI agents in classic arcade environments. The approach highlights AI's role in interactive games and offers a testing framework.