Navigation: Deep Q Networks
Deep Reinforcement Learning : Navigation
This project repository contains my work for the Udacity’s Deep Reinforcement Learning Nanodegree Project 1: Navigation.
In this project, the goal is to train an agent to navigate a virtual world and collect as many yellow bananas as possible while avoiding blue bananas
About Deep Reinforcement Learning
Reinforcement learning refers to goal-oriented algorithms, which learn how to attain a complex objective (goal) or maximize along a particular dimension over many steps; for example, maximize the points won in a game over many moves. They can start from a blank slate, and under the right conditions they achieve superhuman performance. Like a child incentivized by spankings and candy, these algorithms are penalized when they make the wrong decisions and rewarded when they make the right ones – this is reinforcement.
This project implement a Value Based method called Deep Q-Networks