RoboViz Game Playing Bot via Deep Reinforcement Learning

Deep Reinforement Learning is an active area of research, it is being utilized in many areas of application. Our project focuses on utilizing Deep Reinforemcent Learning techniques to learning optimal video game strategies.

Project Title

RoboViz Game Playing Bot via Deep Reinforcement Learning

Project Area of Specialization

Artificial Intelligence

Project Summary

Deep Reinforement Learning is an active area of research, it is being utilized in many areas of application. Our project focuses on utilizing Deep Reinforemcent Learning techniques to learning optimal video game strategies.

Project Objectives

The main objective is to apply a single Deep Reinforcement Learning algorithm capable of learning human expert level game play just by playing a game repetitively.

Project Implementation Method

We are using Python, Tensorflow, and OpenAI gym with our custom designed games.

Benefits of the Project

The main benefit we achieved is that in a simulation environemnt we can practice and repeat a task a million times and learn the best strategy required for optimal execution. This can be utilized in any other application aswell.

Technical Details of Final Deliverable

Final deliverble is a software that given a compatible game it can learn to play at human level.

Final Deliverable of the Project

Software System

Type of Industry

IT

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com