AnimalAI - v4.1.0.exp

[alhasacademy96]

Introducing Animal-AI v4.0.0!

NOTE: This is an experimental build! Some of the features (listed below) may not work properly or as described! Work in progress. Please provide your feedback via the discussions section.

So what's experimental?

New Feature: LogToCSV

Introducing LogToCSV, an automatic data logging system that activates during both play and train modes. This system meticulously logs data about the environment, as well as the agent’s observations and actions, into a well-organized CSV file located in the root folder of AAI, specifically under ‘ObservationLogs’.

Key Features:

• Automatic Data Logging: Seamlessly logs and cleans data into a CSV file within the AAI root folder.
• Comprehensive Data Capture: Extensive data is recorded, as illustrated in the example CSV file provided.
• Mode Compatibility: Functions in both play and train modes, with optional feedback on training impact.
• User-Friendly: Designed to minimize disruptions to the user experience and workflow.

Feedback Request:

Your feedback is highly valued on the following aspects:

• Play Mode Functionality: Confirm that the application launches and closes as expected, without any performance issues such as crashes or freezes.
• Train Mode Stability: Ensure that the training process runs smoothly, without any unexpected freezes or crashes, and that the data is being recorded simultaneously (can be confirmed by checking the .csv, looking for any inconsistencies or gaps in rows).
• CSV File Generation: Verify that a CSV file is generated for each environment launch, named in the “Observations_date+time” format, applicable to both play and train modes.
• CSV File Readability: Assess the readability and clarity of the CSV file, focusing on the ease of understanding the captured data.
• Data Feedback: Provide any suggestions for additional columns or improvements in the data captured.

Thank you for your valuable input!

Updates:

(any updates to the experimental build will be displayed here)

Getting Started:

Check our Installation Guide (here) and/or our Launching Animal-AI Guide (here) for a more detailed look.

But in brief:

• Download Animal-AI OS build for your system from below
• Extract files anywhere you'd like on your system (we use Winrar to package application contents)
• Run .exe/.app file (depending on your system) in the extracted folder of Animal-AI

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N.B: If you are using Linux, you may need to make the .exe file executable: Simply run this command in your terminal: chmod +x env/AnimalAI.x86_64. If you are using MacOS, you may also need to run this command: chmod -R 777 [applicationName].app in your MacOS terminal to unlock permissions for running the application. Edit: Please also make sure when you extract the folder, you move the files inside the sub-directory to its parent folder.

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This discussion was created from the release AnimalAI - v4.1.0.exp.