Updated core user guide to match exactly that of 3.0.0/internal.
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@@ -54,7 +54,7 @@ It is agnostic to the number of agents, their action / observation spaces, and t
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It presents a public API providing a method for describing the current state of the simulation, a method that accepts action requests and provides responses, and a method that triggers a timestep advancement.
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The Game Layer converts the simulation into a playable game for the agent(s).
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it translates between simulation state and Gymnasium.Spaces to pass action / observation data between the agent(s) and the simulation. It is responsible for calculating rewards, managing Multi-Agent RL (MARL) action turns, and via a single agent interface can interact with Blue, Red and Green agents.
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It translates between simulation state and Gymnasium.Spaces to pass action / observation data between the agent(s) and the simulation. It is responsible for calculating rewards, managing Multi-Agent RL (MARL) action turns, and via a single agent interface can interact with Blue, Red and Green agents.
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Agents can either generate their own scripted behaviour or accept input behaviour from an RL agent.
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@@ -77,6 +77,6 @@ The following extensions should now be installed
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:width: 300
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:align: center
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VSCode will then ask for a Python environment version to use. PrimAITE is compatible with Python versions 3.8 - 3.10
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VSCode will then ask for a Python environment version to use. PrimAITE is compatible with Python versions 3.8 - 3.11
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You should now be able to interact with the notebook.
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