Building the Ultimate Game AI for TeamFightTactics: A Step-by-Step Guide
60Coding a Game AI - TeamFightTactics - Part 1
In this video, I'll take you through the step-by-step process of building the ultimate game AI for TeamFightTactics. You'll learn how to code an AI that can analyze the game state, make strategic decisions, and react to changing circumstances.
I'll start by explaining the basics of game AI and the different types of algorithms you can use to build your AI. Then, I'll walk you through the code and logic required to create a robust game AI that can beat any opponent in TeamFightTactics.
We'll cover topics such as how to create a game state representation, how to use decision trees and Monte Carlo simulations to make decisions, and how to implement learning algorithms to help your AI improve over time.
By the end of the series, you'll have a complete understanding of how to build an AI for TeamFightTactics that can dominate your opponents. Whether you're a beginner or an experienced programmer, this step-by-step guide will help you level up your game and take your skills to the next level.
This part 1 of my series on coding an AI to play TFT (TeamFight Tactics). This gives an overview of my problem-solving process. Topics covered: Choosing a project, Risk Management, Software Architecture & Planning, Proof-Of-Concept or Minimum-Viable-Product, & Incremental Improvement.
Learn the basics of how an AI works, including techniques like Neural Networks, Fuzzy Logic, Heuristics, & Genetic Algorithms.
Technologies discussed: NodeJS, Typescript, MemoryJS, GraphicsMagick, TesseractOCR, TensorFlow, SqlLite, & RobotJS.
TFT by Riot Games is a great project due to its strategy elements & simple user-interface.
I might do a series in the future on other games, such as: Hearthstone, Clash Royale, Polytopia, Chess, & Clash of Clans. If you have a strategy game suggestion, request it in the comments.
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