GitHub / talhazaidi13 / Cascaded-Deep-Reinforcement-Learning-Based-Multi-Revolution-Low-Thrust-Spacecraft-Orbit-Transfer

We provide the code repository for our paper This repository includes the necessary code to replicate our experiments and utilize our DRL model for spacecraft trajectory planning. By accessing the repository, researchers and practitioners can benefit from our approach to efficiently transfer spacecraft to GEO using low-thrust propulsion systems.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/talhazaidi13%2FCascaded-Deep-Reinforcement-Learning-Based-Multi-Revolution-Low-Thrust-Spacecraft-Orbit-Transfer
PURL: pkg:github/talhazaidi13/Cascaded-Deep-Reinforcement-Learning-Based-Multi-Revolution-Low-Thrust-Spacecraft-Orbit-Transfer

Commit Stats

Commits: 160
Authors: 2
Mean commits per author: 80.0
Development Distribution Score: 0.35
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/talhazaidi13/Cascaded-Deep-Reinforcement-Learning-Based-Multi-Revolution-Low-Thrust-Spacecraft-Orbit-Transfer

Topics: cascaded-drl, custom-environment, drl-based-orbit-transfer, drl-frameworks, drl-spacecraft, low-thrust-spacecraft-orbit-transfer, nasa, python-matlab, reinforcement-learning, reinforcement-learning-algorithms, reinforcement-learning-environments, soft-actor-critic

• Files
• Readme
• Dependencies