Inspiration
Social cycling and conditional responses in the Rock-Paper-Scissors game, an academic research paper from Zhejiang University and the China State Key Laboratory of Theoretical Physics Link => https://arxiv.org/pdf/1404.5199v1.pdf
And Dom Dabish, for the inspiration and concept of an AI vs AI study.
What it does
A study into comparing the success rate of two competing AI and their approaches to predicting a rock-paper-scissors player's next move.
How I built it
16 hours of logic and research, 5 hours of programming.
Challenges I ran into
Logical planning for building two AI models simultaneously, as well as running them against each other in our local test environment. Also, using Firebase for discrete Markov chain memory.
Accomplishments that I'm proud of
Taking the time to learn time series analysis and prediction algorithms such as discrete Markov chains, hidden Markov models, etc. and learning how to implement an intelligent system with a clean UI using no third-party code.
What I learned
How to use discrete Markov chains for machine learning and temporal pattern recognition.
What's next for Janken
Mo' training, mo' winnin, mo' money. Training against as many humans as possible to
Log in or sign up for Devpost to join the conversation.