Reinforcement learning

Sarod Yatawatta
5/16/2024
astro-ph.IMcs.AIcs.LG

No official code found. Best implementation: SarodYatawatta/hintRL (1 star, Apache-2.0, last commit 2024-10-05).

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.

View on arXivView PDF

Code Implementations(1)

Apache-2.0

Hint assisted reinforcement learning

10PythonOct 14, 20222 years agoApache-2.0
bipedalwalkerhardcoreensemble-modelpetsradio-astronomyreinforcement-learning+2 more

Similar Papers

Cite this paper

@article{yatawatta2024reinforcement,
  title  = {Reinforcement learning},
  author = {Sarod Yatawatta},
  year   = {2024},
  eprint = {2405.10369},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.10369v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2405.10369.svg)](https://codeofpaper.com/paper/2405.10369)

Discussion