tomasspangelo
IT Consultant @ twoday. MSc in Industrial Economics and Technology Management at NTNU, specialized in Artificial Intelligence and Mathematical Optimization.
twodayOslo, Norway
Pinned Repositories
Convolutional-and-Dense-Neural-Network
Implementation of vanilla, dense feed-forward network and convolutional neural network in the course IT3030 Deep Learning at NTNU.
dbthelper
Deep-Reinforcement-Learning-for-Peg-Solitaire
Industrial-Optimization
Infrastructure-Optimization-for-Autonomous-Vehicles
Implementation of optimization model for autonomous vehicles using mosel (Express) and some small scripts in Python to generate data.
kollektivet
On-Policy-Monte-Carlo-Tree-Search-for-Game-Playing
operativsystemer
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.
RL-for-the-Mountain-Car-Problem
tomasspangelo's Repositories
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.
tomasspangelo/Infrastructure-Optimization-for-Autonomous-Vehicles
Implementation of optimization model for autonomous vehicles using mosel (Express) and some small scripts in Python to generate data.
tomasspangelo/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.
tomasspangelo/dbthelper
tomasspangelo/Deep-Reinforcement-Learning-for-Peg-Solitaire
tomasspangelo/Industrial-Optimization
tomasspangelo/kollektivet
tomasspangelo/On-Policy-Monte-Carlo-Tree-Search-for-Game-Playing
tomasspangelo/operativsystemer
tomasspangelo/RL-for-the-Mountain-Car-Problem
tomasspangelo/robotur
tomasspangelo/Visma-smart-speil
tomasspangelo/Semi-Supervised-Learning-with-Deep-Nets
tomasspangelo/Toppfag
Page for rating courses at NTNU.
tomasspangelo/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.