Reinforcement learning
Instrumentation and Methods for Astrophysics
2024-05-20 v1 Artificial Intelligence
Machine Learning
Abstract
Observing celestial objects and advancing our scientific knowledge about them involves tedious planning, scheduling, data collection and data post-processing. Many of these operational aspects of astronomy are guided and executed by expert astronomers. Reinforcement learning is a mechanism where we (as humans and astronomers) can teach agents of artificial intelligence to perform some of these tedious tasks. In this paper, we will present a state of the art overview of reinforcement learning and how it can benefit astronomy.
Cite
@article{arxiv.2405.10369,
title = {Reinforcement learning},
author = {Sarod Yatawatta},
journal= {arXiv preprint arXiv:2405.10369},
year = {2024}
}
Comments
To appear, Astronomy & Computing