Datasets for "Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Reinforcement Learning"

These datasets are the official data of the submission "Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Reinforcement Learning", anonymous for the double-blind submission system.
The following datasets are contained:

100_site_observations.csv: working as full environment by default and representing the dataset used for training all RL agents.

test.csv: test set used for the computation of the average effectiveness distribution used to compare agents.

test_kfold.csv: test set used during the K-Fold Cross Validation for the computation of the average effectiveness distribution

These datasets should be contained in the data folder of the framework used for training RL agents (submitted also anonymously).

A README.md file will contain all the information related to the full dataset.