The demo is available at http://algebragamification.com:3032/.
A classical two-player Nim game that uses a single layer neural network model with crowdsourcing. This game requires two players to take alternating turns to choose a number of stones to remove from an initial pile, and the player who takes the last stone loses the game.
The figure illustrates the training process and the number of game trials needed for our Nim game AI to learn a skillful strategy using a single-layer neural network and crowdsourcing.
Please cite our work if you have used our codes.
Use the following BibTeX citation:
@inproceedings{chatbotserver2022,
title={A Chatbot-Server Framework for Scalable Machine Learning Education through Crowdsourced Data,
author={Jingting Li and Chee Wei Tan and Ching Nam Hang and Xintong Qi},
booktitle={Proceedings of the Ninth ACM Conference on Learning@ Scale},
year={2022}
}