aRieL - Reinforcement Learning for the Ariel Space Telescope Scheduling

arXiv:2609.38566 · astro-ph.EP, astro-ph.IM · Submitted 2026-09-29 · Read on arXiv

astro-ph.EP, astro-ph.IM

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/Sympanda/aRieL

Terminology

Reinforcement Learning — 23× in this paper · explained in 4 episodes
Actor — 18× in this paper · explained in 3 episodes
Transformer — 18× in this paper · explained in 2 episodes
Reward Function — 9× in this paper · explained in 2 episodes
Action Space — 8× in this paper · explained in 1 episode
Calibration — 4× in this paper · explained in 7 episodes
Deep Reinforcement Learning — 4× in this paper · explained in 2 episodes
Machine Learning — 4× in this paper
Reinforcement Learning (RL) — 3× in this paper · explained in 25 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Metallicity — 2× in this paper · explained in 3 episodes
Objective Function — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 5 episodes
Transformer Architecture — 2× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Downstream Tasks — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Latent Representation — 1× in this paper · explained in 2 episodes
Pooling by Multihead Attention — 1× in this paper
Set Transformer Proximal Policy Optimisation — 1× in this paper
TESS Planetary Candidate — 1× in this paper

Sources

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