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teamfighttactics

About this tag
This tag covers discussions about Teamfight Tactics (TFT), an auto-battler game from Riot Games. Content includes a thread on building a gaming AI for TFT, where an experienced programmer explores using machine learning techniques like neural networks (TensorFlow) to learn army strengths and weaknesses. The user plans to hard-code basic strategies to simplify the neural network's task and expresses concerns about gathering sufficient training data. The tag is relevant for Windows users interested in game AI development, TFT strategies, and applying ML to auto-battler games.
  1. YTAIGamer

    VIDEO Suggestions on building a gaming AI?

    I'm an experienced programmer, but new to AI. I'm trying to learn ML techniques by building a bot to play a video game. I'm documenting my process as I go. The game I'm focusing on 1st is TFT (TeamFightTactics) which is in the AutoBattler genre - Essentially, you try to build the strongest...
    • YTAIGamer
    • Thread
    • algorithms autobattler bot development competition data collection decision documentation gaming machine learning model optimization neural networks pattern recognition programming research strategy teamfighttactics techniques tensorflow training data
    • Replies: 1
    • Forum: Windows Games
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