AI_Agents_For_Rock_Paper_Scissors. This project was completed on October 15, 2015. It's a software package that consists of a set of AI agents for RPSLW (a stochastic game). One of the agents was implemented, so that it could learn how to play against different types of players on its own using Reinforcement Learning (specifically, using model-free type of RL - Q learning). To learn more, view the readme.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.