Training AI for Space: Slingshot's Ray Journey - Ray Summit 2024
Offered By: Anyscale via YouTube
Course Description
Overview
Explore an innovative approach to managing the growing number of satellites in orbit through a conference talk from Ray Summit 2024. Discover how Slingshot Aerospace utilizes a high-fidelity synthetic space environment to train reinforcement learning agents for real-world spaceflight mission objectives. Learn about the transformation of Slingshot's astrodynamics simulation engine into a highly scalable Ray-based training pipeline. Gain insights into their multi-layered, multi-agent, multi-mission RL Gym designed for training agents across various simulated conditions. Delve into the challenges and solutions of applying artificial intelligence to space operations, presented by Alex Post from Slingshot Aerospace.
Syllabus
Training AI for Space: Slingshot's Ray Journey | Ray Summit 2024
Taught by
Anyscale
Related Courses
Computational NeuroscienceUniversity of Washington via Coursera Reinforcement Learning
Brown University via Udacity Reinforcement Learning
Indian Institute of Technology Madras via Swayam FA17: Machine Learning
Georgia Institute of Technology via edX Introduction to Reinforcement Learning
Higher School of Economics via Coursera