tomasspangelo

Convolutional-and-Dense-Neural-Network

Implementation of vanilla, dense feed-forward network and convolutional neural network in the course IT3030 Deep Learning at NTNU.

Infrastructure-Optimization-for-Autonomous-Vehicles

Implementation of optimization model for autonomous vehicles using mosel (Express) and some small scripts in Python to generate data.

proximal-policy-optimization

An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.

dbthelper

Deep-Reinforcement-Learning-for-Peg-Solitaire

Industrial-Optimization

kollektivet

On-Policy-Monte-Carlo-Tree-Search-for-Game-Playing

operativsystemer

RL-for-the-Mountain-Car-Problem

robotur

Visma-smart-speil

Semi-Supervised-Learning-with-Deep-Nets

Toppfag

Page for rating courses at NTNU.

UCSD-Project-Spring2020

Jupyter notebook files for a machine learning project in the course COGS 118A Supervised Machine Learning Algorithms. In short the object of this project was to empirically test different machine learning algorithms using a variety of data sets from the UCI Machine Learning Repository.