Q

Q Learning

This project aims is to learn adaptive parameter updates of nonlinear programming solvers by using reinforcement learning techniques.

This repo contains some networks such as DeepQ, DoubleQ and other technique for instance target network and prioritized experience memory

Using a Deep Q Network (a kind of Reinforcement Learning agent) to learn a policy to cross a busy intersection