Hamid-Rezaei/Berkeley-AI-Projects

Fundamental of AI course which focuses on search, multiagents, mdp and reinforcement learning algorithms.

Language: Python - Size: 2.22 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

matansuliman/Introduction-to-Artificial-Intelligence

Language: Python - Size: 1.19 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

xstupi00/Dice-Wars

Artificial Intelligence and Machine Learning - Team Project - Dice Wars

Language: Python - Size: 2.59 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

SheidaAbedpour/Pacman-Multi-Agent-Search

This project implements a Pacman agent using the minimax algorithm with alpha-beta pruning and a custom evaluation function.

Language: Python - Size: 2.28 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AjaySurya-018/TicTacToe-AI-Game

TicTacToe is a fun game, implemented using Minimax algorithm

Language: Python - Size: 128 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

chanddu/Backgammon-python-numpy-

Implemented a expectiminimax agent (2-ply search) with alpha – beta pruning and forward pruning (to reduce the branching factor in the game tree) to determine the best move give the state of the board.

Language: Python - Size: 66.4 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 2 - Forks: 4

mr-amirfazel/AI_Pacman

this repository contains my codes for fundamentals of AI course projects

Language: Python - Size: 8.46 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Caknoooo/FP_Kecerdasan_Buatan_D06

Kami dari kelas Kecerdasan Buatan D Kelompok 6 akan mengimplementasikan algoritma-algoritma yang telah diajarkan pada Final Project ETS kali ini

Language: Python - Size: 251 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

Shukti042/Artificial-Intelligence

Artificial Intelligence

Language: Java - Size: 5.88 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

shambakey1/coevolutainary_strategy_based_adversial_search

Language: Python - Size: 161 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

shambakey1/MCTS_adversial_search

Implementation of Udacity Nanodegree adversial search project using Monte Carlo Tree Search (MCTS). My implementation is a modification of the MCTS at "https://github.com/int8/monte-carlo-tree-search" to suit the project's knights isolation game. My implementation is in the "my_custom_player.py" file

Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1