Learning_Mario. This project implements a Deep Q-Network to train an AI agent to play Super Mario Bros using reinforcement learning. The model leverages convoulutional neural networks (CNNs) to approximate the Q-table and improve decision-making based on previous game states.

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.