1. Learning Optimal Control Policies for Upright Rocket Landings through Deep Reinforcement Learning

    While rocket landing problems are typically solved through conventional trajectory optimization techniques combined with heuristic control, recent developments in deep learning suggest that neural networks are able to approximate the Hamilton-Jacobi-Bellman equation and control spacecraft optimally in real-time with spatial generalization. …


  2. Astrodynamics in Python - Interplanetary Environment

    How will humans get to Mars? To answer this question, extensive virtual simulations need to be conducted in order to properly plan such a mission. This is not a simple task by any regard. From the perspective of dynamics, essentially, one must ask: starting from a parking orbit about Earth, how must I throttle the spacecraft’s propulsion system at each moment in time to arrive in a parking orbit around Mars? …


  3. Statistical Analysis Tools in Python

    In the world of data analysis it is often very useful to have a variety of tools at hand to make life a little more convenient. In this tutorial a few tools for statistical analysis will be constructed. One may find these tools useful during an undergraduate statistical analysis course. …