Business War Policy Exploration-AI project for CS181 in Shanghaitech
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Updated
Nov 29, 2023
Business War Policy Exploration-AI project for CS181 in Shanghaitech
2048 game solved using Expectimax and Monte Carlo Tree Search.
AI Pacman Agent
Implement DFS, BFS, UCS, and A* algorithms && minimax and expectimax algorithms, as well as designing evaluation functions
2048 with expectimax for the autoplay (botSolver/AI)
🎮🕹️👾 Berkeley PacMan course for an intoduction in Artificial Intelligence
Solution of Machine Intelligence (CMP402) labs
Projects for AI course
AI player implemented for the 2048 single-player game using expectimax algorithm with heuristics
Reinforcement learning agents for Connect-4 and Bomberman AI
Program that uses Expectimax (or Minimax with alpha beta pruning) search to win a game of Sticks
an Expectimax algorithm implementation for an AI class project
Design Agents for the classic version of Pac-Man including ghosts.
[Desktop Application] Recreated 2048 Game by Gabriele Cirulli with an AI Solver.
Introduction to Artificial Intelligence - Assignment 13 miniMax, alpha-beta Pruning, Expectimax...
Final project of the course Introduction to Artificial Intelligence of NCTU
Implemented AI Multi Agent Search Algorithms - Minimax, Expectimax, Alpha-Beta Pruning, Evaluation Functions.
Pacman game and AI agents
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