Strengths3
- Clear from-scratch implementation of TD(0) learning using only NumPy.
- Runnable demo includes both training and interactive play against the agent.
- Well-structured separation of agent, environment, and main loop.
Educational Implementation · Python
reinforcement-learning-from-scratch
What it is
This repository implements a tabular TD(0) learning agent for Tic-Tac-Toe from scratch using NumPy, with a training loop and interactive play mode to demonstrate reinforcement learning concepts.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning90%
- AI Agents20%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
What the judge found
Read from the project's code at its scored commit.
Limitations
The owner keeps this project's limitations private.
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