Tristam stands for Training Intelligent Sequencer Tool for Adaptative Music.
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Updated
Oct 27, 2018 - Java
Tristam stands for Training Intelligent Sequencer Tool for Adaptative Music.
Repository for the programming exercises of the Intelligent Agents course (CS-430) at EPFL.
Results from program Safety Assurance in Complex Aerospace Digital Systems that include AI/ML, funded by the FAA
8 puzzle BFS in Java
Delivery Vehicle Routing System (VRP) using Genetic Algorithms to optimize routes and find the shortest paths between multiple locations. Developed with Eclipse IDE using a JADE multi-agent architecture, the system models vehicles as agents and solves routing problems in an agent-based environment.
A backtracking solution to the classic 8 Queens problem.
An eclipse-based graphical modeling tool for context identification and management. (Ali Baddour; Prof. Jun Sang)
Tabu Search metaheuristic exercise developed in Java 8 application
An implementation of three different levels of computational intelligence of a computer player of Tic-Tac-Toe.
An intelligent queue to serve Parallel and Sequential processing requests of items.
This repository serves as a learning resource for reinforcement learning techniques, specifically Q-learning, applied to a simplified version of the Blackjack game. It encourages exploration of different agent strategies and parameter settings to understand their impact on learning and decision-making.
An entry-level pathfinding intelligent system (basic AI).
Intelligent system demonstrating the application of search strategies in the context of mostly-uninformed pathfinding in an environment with obstacles
Tic-tac-toe-playing agent demonstrating the application of adversarial search strategies in ensuring optimal gameplay
A multi-agent system where agents compete in tic-tac-toe tournaments.
Dots And Boxes Game implemented using Minimax algorithm with alpha-beta pruning.
Controls subteam code for FRC Team 2637, 2019-2020
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