Training Area Replicator, does not replicate Environments during Training

[JulesVerny]

ML Agents 1.9 Training Area Replicator, to avoid having to explicitly create multiple Training Area(With its Child Agents and Enemies etc) as multiple Training Area Game Objects in my Scene.

When I use Training Area Replicator, and set the number of Area (Num Areas) and simply Press Play directly in the Editor, the Multiple scenes are created, and are played through.

However when I execute Play following with a python mlagents-learn Training session prompt, the scene only creates and plays a single Training Area instance. I note that the Num Areas filed is set to Zero in the inspector, whilst the Training session is in play.

So the ML Agents Training Area Replicator does not seem to work with the python mlagents-learn sessions ?

[miguelalonsojr]

Hi @JulesVerny , if you'd like to use the training area replicator in python, you'll have to add the following, for example, to your trainer config file to replicate 8 training areas:

env_settings: num_areas: 8

[JulesVerny]

Unfortunately when I try to use the following in my YAML env_settings: num_areas: 8 Is not recognised by the ML Agents 1.9 YAML parser it thrwos up an error "The option num_areas" is invalid I tired with env_settings at the top level of my YAML, then under Behaviours. Still does not parse. Where is the formatting of this option in the YMAL documented ?

[JulesVerny]

Unfortunately when I try to use the following in my YAML env_settings: num_areas: 8 Is not recognised by the ML Agents 1.9 YAML parser it thrwos up an error "The option num_areas" is invalid I tired with env_settings at the top level of my YAML, then under Behaviours. Still does not parse. Where is the formatting of this option in the YMAL documented ?

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From: Miguel Alonso @.> Sent: 22 June 2022 15:30 To: @.> Cc: @.>; @.> Subject: Re: [Unity-Technologies/ml-agents] Training Area Replicator, does not replicate Environments during Training (Issue #5757)

Hi @JulesVernyhttps://github.com/JulesVerny , if you'd like to use the training area replicator in python, you'll have to add the following, for example, to your trainer config file to replicate 8 training areas:

env_settings: num_areas: 8

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