pacmanaialgorithm

BFS,DFS,A*,andUniformCostSearchAlgorithmsimplementedforPacmangame-GitHub-aahuja9/Pacman-AI:BFS,DFS,A*,andUniformCostSearchAlgorithms ...,PacManagentscoresmorethan18000pointsonaveragebyutilizinguniform-costsearchalgorithminJavatodecidethepathsPac-Manshouldfollow.,2022年9月9日—Themainaimistobuildanintelligentpacmanagentwhichfindsoptimalpathsthroughthemazetofindaparticulargoalsuchasaparticular .....

參考資訊如下
aahuja9Pacman-AI

BFS, DFS, A*, and Uniform Cost Search Algorithms implemented for Pacman game - GitHub - aahuja9/Pacman-AI: BFS, DFS, A*, and Uniform Cost Search Algorithms ...

agilthenotoriousAI

PacMan agent scores more than 18000 points on average by utilizing uniform-cost search algorithm in Java to decide the paths Pac-Man should follow.

AI ALGORITHMS FOR PACMAN

2022年9月9日 — The main aim is to build an intelligent pacman agent which finds optimal paths through the maze to find a particular goal such as a particular ...

AI and PacMan (A story of ghosts' intelligence)

2020年11月24日 — DFS is a recursive algorithm that uses the idea of backtracking. It reaches to the depth of the tree, then backtracks to other branches of the ...

GitHub - kieuconghauai-pacman

Propose or apply learned algorithms to help Pac-Man to find foods without dying by monsters.

karanm14Pac-AI

Pac-AI. Created a neural network evolved using genetic algorithm to play the game of Pac-Man. Download the zip file and run python pacman.py to train.

Pac

Adversarial Search Algorithms: Designed strategies for Pac-Man to reach the best utility while avoiding ghosts in a multiagent scenario. Minimax with Alpha-Beta ...

Pac-Man Ghost AI Explained

Pac

Students implement model-based and model-free reinforcement learning algorithms, applied to the AIMA textbook's Gridworld, Pacman, and a simulated crawling ...