The objective of this project is to build a forward planning agent that uses search and symbolic logic techniques to automatically develop and execute plans to achieve their goals.
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Updated
Mar 12, 2020 - Python
The objective of this project is to build a forward planning agent that uses search and symbolic logic techniques to automatically develop and execute plans to achieve their goals.
🤖 A simulation of a simplified rover controlled by an JAM Intelligent Agent whose primary goal is to explore the rocks placed in a an two dimensional grid. Used Python for Visualizations.
An Intelligent Agent written in prolog for managing the smart environnement of a room.
CS 531 Course Assignments + Projects at OSU
Implementation of different search algorithms for the Pacman game.
🐋 A repository for useful algorithms and data structures
This repository contains a collection of basic artificial intelligence and machine learning algorithms that I developed during my second year of university. Here, you'll find a selection of algorithms, including a Bayesian spam filter for email classification, optical character recognition and the Min-Max tree algorithm.
An Intelligent Assistant that explains the content of a PDF file. Built with ChromaDB and Langchain.
Checkers agents - containing a playable checkers game and intelligent agent that makes use of the minimax algorithm with alpha-beta pruning
The reactive_deliberative project allows creating applications with a reactive-deliberative architecture.
A python simulation environment to simulate micro-services orchestration using intelligent agents.
Model-Based Reflex Agent Design of Pac-Man Strategies with Support of Pathfinding Algorithms in a Partially Observable Environment
Implementation of the Minimax algorithm with alpha-beta pruning
Intelligent agent to play carrom game using Reinforcement learning and Deep neural network
This self sustained autonomous device aims to provide real-time adaptive solution based on Machine Learning inferences
Snake game in python with intelligent, self learning agents.
Práctica do curso de especialización en Intelixencia Artificial e Big Data de Formación Profesional - IES de Teis
Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment
A multi-agent platform built on the top of the pystarworldsturbo library. Part of the Intelligent Agents course taught at Royal Holloway University of London.
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