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pathint

Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

pykep

PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.

pyrlprob

Train easily OpenAI-Gym environments through Ray-RLlib

pytorch-ewc

PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rl-meta-learning-acta

robusttrajectorydesignbyrl

rompc

Reduced Order Model Predictive Control

scptoolbox.jl

Sequential Convex Programming Toolbox for nonconvex trajectory optimization.

soc_paper

Code for simulations of our paper (in revision): "An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise"

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

startracker-c-math

Utility for calculating the attitude of an object in Euclidean space.

statodfinal

Final project for ASEN 6020 Statistical Orbit Determination. Uses Unscented Kalman Filter to estimate spacecraft state with unknown perturbations.

stochasticoptimalcontrol_extendedvsunscented_approach

This repository is dedicated to a comparison between two approaches (Extended Transform; Unscented Transform) to perform stochastic optimal control simulations.

stochasticoptimalcontrol_meetings

terminal_guidance

Code from my master thesis project, about satellite rendezvous.

thalassa

THALASSA stands for Technologies for Hazard Avoidance and Landing for Autonomous Spacecraft with Situational Awareness. THALASSA is a modular prototyping environment developed during Marco Z. Di Fraia's doctorate at Cranfield University, with the general scope of developing, testing, and eventually deploying autonomous navigation technologies. The package has been developed to be able to control as many aspects as possible of the simulations.