Shypd.aiThe largest open index of AI toolsttt-rl is a Research & Education tool that implements a neural network for playing tic-tac-toe using reinforcement learning. It is written in C with no external libraries, serving as an educational resource.
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ttt-rl is a reinforcement learning example implemented in C, designed to teach the basics of reinforcement learning through a tic-tac-toe game. The neural network learns to play against a random adversary from scratch, without any pre-existing knowledge of the game. It uses a simple architecture with a single hidden layer and is contained in under 400 lines of C code, with no external libraries. This project is particularly valuable for programmers, especially young programmers, who want to understand new fields through small, self-contained, and well-commented C programs. It demonstrates how RL can learn complex behaviors from basic reward signals.
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