#2068: Further typo and formatting changes.
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@@ -26,6 +26,7 @@ Agents
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^^^^^^
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All agents inherit from the :py:class:`primaite.game.agent.interface.AbstractAgent` class, which mandates that they have an ObservationManager, ActionManager, and RewardManager. The agent behaviour depends on the type of agent, but there are two main types:
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* RL agents action during each step is decided by an appropriate RL algorithm. The agent within PrimAITE just acts to format and forward actions decided by an RL policy.
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* Deterministic agents perform all of their decision making within the PrimAITE game layer. They typically have a scripted policy which always performs the same action or a rule-based policy which performs actions based on the current state of the simulation. They can have a stochastic element, and their seed will be settable.
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