Programs developed for CSCI561 Foundations of Artificial Intelligence course
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Updated
May 20, 2020 - Python
Programs developed for CSCI561 Foundations of Artificial Intelligence course
Official code repository for "Playing Chess with Limited Look Ahead"
A machine learning agent that learns to play a game using Deep Reinforcement Learning Technique
Game Plugin for OLDTV using the SerpentAI Game Agent Framework
Problem Solving With AI Approaches: Heuristic Searches, Statistical Classifications
Practical implementations of Fundamental AI concepts
This programming assignment is to implement an agent that plays the Max-Connect4 game using Search.
Game Playing using Minimax Algorithm in Artificial Intelligence using Python
Created an AI that beats human opponents in the game of Isolation using Minimax, Alpha-Beta Search, and Iterative Deepening.
Reinforcement Learning Research Lab
CS50AI Introduction to AI with Python covers key AI concepts like machine learning, neural networks, and optimization, with practical Python programming applications.
A heuristic tetris player, fined tuned using genetic algorithms.
Add a description, image, and links to the game-playing topic page so that developers can more easily learn about it.
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