Description

Includes two complete examples for

Also restructures tutorial section, now including two subtutorials for the components:

The documentation titles for "Tutorials" and "Examples" have been replaced with "Basic Tutorials" and "Use Case Tutorials", respectively.

The "Use Case Tutorials" now only include the examples listed above.

The enumeration has changed, from roman enumeration to alphanumerical.

Updated the some index pages to reflect the new tutorial structure.

Type of change

Delete as appropriate:

The example addresses the following learning goals:

Set up a closed-loop AutoRA workflow: Learn how to create an automated discovery process, iterating between hypothesis generation and data collection.
Automate experimental design with SweetPea: Use SweetPea to generate experimental designs that adapt as the study progresses.
Generate behavioral experiments with SweetBean: Automate the creation of simple behavioral experiments, minimizing the need for manual coding.
Host experiments using Google Firebase: Set up a server for hosting your behavioral experiments, making them accessible to participants.
Store experimental data with Google Firestore: Efficiently manage and store participant data collected from your experiment.
Collect data from real participants with Prolific: Recruit and manage participants through Prolific, ensuring high-quality behavioral data.

Which configuration is optimal for the firebase_runner to ensure robust performance? Specifically:

experiment_runner = firebase_runner(
firebase_credentials=firebase_credentials,
time_out=100,
sleep_time=5)

How is the completion_code in the firebase_prolific_runner determined? Is it arbitrary?

[x] Still need to validate the RL-closed loop tutorial
[x] Images specific to the closed-loop psychophysics study were moved to a sub folder in that example. The "general" images (used across examples) were moved in the example folder above.
[x] Before merging, I need to update the corresponding template repository for the pyschophysics example; same goes for the rl-bandit-example