JernejHabjan/TrumpDefense2020
Visual representation of RTS game, supported by deep reinforcement learning algorithm Alpha Zero written in python.
This project offers a visual simulation of a real-time strategy (RTS) game, powered by a deep reinforcement learning algorithm. It takes in game rules and win conditions, then trains an AI to play and master the game. Game developers and AI researchers can use this to explore how AI can learn complex game strategies.
No commits in the last 6 months.
Use this if you are a game developer or AI researcher looking to implement or study advanced AI agents in RTS environments using reinforcement learning.
Not ideal if you're looking for a pre-built, production-ready AI for an existing game or a tool without significant technical setup.
Stars
7
Forks
1
Language
C++
License
MIT
Category
Last pushed
Oct 11, 2020
Commits (30d)
0
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