kris2011 Goto Github PK
Type: User
Type: User
Open sourced D4PG implementation of a spacecraft proximity operations task, presented in a paper at the AIAA GNC SciTech 2020 conference in Orlando, Florida
Code accompanying the paper Hovell, K., Ulrich, S., and Bronz, M., “Acceleration-based Quadrotor Guidance Under Time Delays Using Deep Reinforcement Learning,” AIAA Guidance, Navigation, and Control Conference, Nashville, TN, 11-21 Jan, 2021.
Resources for CNN-based spacecraft navigation around uncooperative spacecraft.
TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
Code for the paper Implicit Weight Uncertainty in Neural Networks
Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization
My contribution to the SRCL combined experiment, where I provide deep reinforcement learning-based guidance for spacecraft pose tracking with acceleration signals. This is essentially my Phase 3 approach on the Phase 1 task, with some extensions.
Master's Thesis: single-phase hybrid differential dynamic programming applied to low-thrust Sun-Earth L1 halo to L2 halo orbit transfers.
Dynamic Programming (DP) for solving the Stochastic Optimal Control (SOC) problem (the HJP partial differential equation)
Deep Reinforcement Learning (DRL) code for maneuvering a spacecraft with adaptive ZEM/ZEV in constant gravity
you know what it is
Trajectory optimization for a missile model using Flexible Final Time Constrained Differential Dynamic Programming (FFT-CDDP).
Orbit simulation
OpenAI gym environments for learning flight guidance, navigation and control tasks using reinforcement learning
Overcoming catastrophic forgetting with hard attention to the task
Assignments for CS294-112.
Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
Master's Thesis: initial guess construction for Sun-Earth L1-L2 Halo transfer for use in DDP. Uses multiple-shooting with low-thrust enabled nodes.
Code that accompanies the paper "Spacecraft Robotic Capture and Simultaneous Stabilization Using Deep Reinforcement Learning-based Guidance", submitted for possible publication in the Journal of Guidance, Control, and Dynamics
Open-sourced deep guidance implementation using the D4PG algorithm for spacecraft proximity operations as detailed in Hovell and Ulrich's JSR 2020 paper.
satellites
Multiple Gravity-Assist Low-Thrust (MGALT) version of the Spacecraft Trajectory Optimization Suite (STOpS) developed by Malloy for his thesis work at Cal Poly SLO
Multi-Objective Low-Thrust Optimizer for Interplanetary Transfers
Spacecraft Optical Navigation
A short foray into Optimal Guidance and Control Schemes for Spacecraft Rendezvous. The main one demonstrated is that of Zanetti.
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.