Pac-ManAI

AIpacman is a Python framework for implementing and benchmarking search, adversarial, and reinforcement learning agents in the Pac-Man game, with visualization and evaluation tools.

NVIDIA researchers have created an AI model called GameGAN that can generate a fully functional version of PAC-MAN without using the original game engine. GameGAN uses generative adversarial networks (GANs) to learn from 50,000 episodes of the game and re

This Pacman AI framework manages the core mechanics and behaviors of the classic Pac-Man game, including agent actions, game state transitions, and rule enforcement.

Create a new mode where users can play the game themselves while still seeing the AI's recommended route!! This mode can be selected in the settings or can be toggled mid-game by pressing the Spacebar key.

We deduced that the optimal strategy for the ghosts was to surround a single pellet and prevent it from being eaten so that Pac-Man could never finish the game.

NVIDIA 的研究人員成功訓練了一個獨特的 AI 模型，使用觀察幾個小時的《PAC-MAN》遊戲畫面，無需遊戲引擎，就能重新創造出一個完全功能的遊戲版本。