Artificial-Intelligence-Pac-Man and Pacman-With-AI-Python
These are ecosystem siblings—both are independent implementations of AI search algorithms (likely from the same UC Berkeley CS 571 course assignment) that solve the same Pac-Man problem domain using different code bases and approaches, but neither depends on or enhances the other.
About Artificial-Intelligence-Pac-Man
iamjagdeesh/Artificial-Intelligence-Pac-Man
CSE 571 Artificial Intelligence
This project explores various artificial intelligence techniques through the classic Pac-Man game. It demonstrates how different AI algorithms, ranging from basic search to deep reinforcement learning, can be applied to maximize a Pac-Man agent's score. Students and AI researchers can use this to understand and implement fundamental AI concepts within a simulated environment.
About Pacman-With-AI-Python
andi611/Pacman-With-AI-Python
Implementations of artificial intelligence agents that plays Pac-Man
This project provides different AI agents that play the classic Pac-Man game. It takes the game's current state as input and outputs the next optimal move for Pac-Man. This is useful for students or researchers studying artificial intelligence algorithms and their practical application in game environments.
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