TeamFightTactics 101: Learn the Basics Strategies we'll use to Train Our AI
TeamFightTactics - Game Rules & Strategy - Coding an AI - Part 2
In this video, we'll be diving into the basics of TeamFightTactics and exploring some key strategies that we'll use to train our AI. Whether you're new to the game or a seasoned player looking to take your skills to the next level, this video is packed with valuable insights and tips that will help you improve your gameplay and AI development skills.
We'll start by introducing the basic mechanics of the game and explaining how it works. We'll also discuss the different types of units, synergies, and items you'll encounter, and how they can be combined to create powerful teams.
From there, we'll dive into some key strategies that will help you succeed in the game and train your AI. We'll discuss topics such as positioning, economy management, scouting, and team composition, and show you how to apply these strategies in your gameplay and AI development.
Throughout the video, we'll also provide examples and demonstrations of these strategies in action, so you can see how they work in practice. By the end of the video, you'll have a solid foundation in the basics of TeamFightTactics and a clear understanding of the strategies we'll use to train our AI. So, if you're ready to improve your gameplay and take your AI development skills to the next level, be sure to watch this video!
This part 2 of my series on coding an AI to play TFT (TeamFight Tactics),. This explains the rules of the game and how the various strategy elements will affect my AI design. Topics covered: Unit traits, Augments, Items, XP, Income, board placement, Statistics, Neural Networks, Fuzzy Logic, Training Data Gathering.
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