popovicidaniela / Master-Thesis

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Deep Reinforcement Learning in Autonomous Driving

Works best with discrete actions: 4 workers, 1e-4 learning rate

Couldn't get it to work for the continuous actions space; something goes wrong with the actions it generates

The A3C idea

Image of A3C idea

Overview

Image of Overview

Architecture of the Artificial Neural Network

Image of Architecture of the ANN

About

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex


Languages

Language:TeX 74.2%Language:Python 25.6%Language:Shell 0.2%