UIUC AI Project
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Updated
Apr 4, 2015 - JavaScript
UIUC AI Project
Pacman and Ghost Agent | Python | Artificial Intelligence | Search-based Algorithms | Learning-based Algorithms
Implementation of Expectimax for an AI agent to play 2048
Implementation of reinforcement learning algorithms to solve pacman game. Part of CS188 AI course from UC Berkeley.
UC Berkeley CS188 Intro to AI -- Pacman Project Solutions
AI Pacman Agent
CSE 571 Artificial Intelligence
Design Agents for the classic version of Pac-Man including ghosts.
Course work - CSE 537 - SBU
A Connect Four game which can be played by an AI: uses alpha beta pruning algorithm when played against a human and expectimax algorithm when played against a random player.
Simulator, AI and GUI for the game 2048
UC Berkeley CS188: Artificial Intelligence
A simplified version of Go game in Python, with AI agents built-in and GUI to play.
2048 Pseudo AI | 15-112 Term Project (Spring 2019)
Reinforcement learning agents for Connect-4 and Bomberman AI
Full game implemented + AI/ML/OtherBuzzwords players (expectimax, monte-carlo and more). Fork me!
Solutions to Pacman AI Multi-Agent Search problems
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