Infrastructure-Optimization-for-Autonomous-Vehicles

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

Convolutional-and-Dense-Neural-Network

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

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.