Update docs based on reset refactor
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@@ -6,6 +6,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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- Made environment reset completely recreate the game object.
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- Changed the red agent in the data manipulation scenario to randomly choose client 1 or client 2 to start its attack.
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- Changed the data manipulation scenario to include a second green agent on client 1.
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- Refactored actions and observations to be configurable via object name, instead of UUID.
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@@ -108,6 +108,7 @@ Head over to the :ref:`getting-started` page to install and setup PrimAITE!
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source/simulation
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source/game_layer
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source/config
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source/environment
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.. toctree::
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:caption: Developer information:
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10
docs/source/environment.rst
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10
docs/source/environment.rst
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@@ -0,0 +1,10 @@
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RL Environments
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***************
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RL environments are the objects that directly interface with RL libraries such as Stable-Baselines3 and Ray RLLib. The PrimAITE simulation is exposed via three different environment APIs:
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* Gymnasium API - this is the standard interface that works with many RL libraries like SB3, Ray, Tianshou, etc. ``PrimaiteGymEnv`` adheres to the `Official Gymnasium documentation <https://gymnasium.farama.org/api/env/>`_.
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* Ray Single agent API - For training a single Ray RLLib agent
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* Ray MARL API - For training multi-agent systems with Ray RLLib. ``PrimaiteRayMARLEnv`` adheres to the `Official Ray documentation <https://docs.ray.io/en/latest/rllib/package_ref/env/multi_agent_env.html>`_.
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There is a Jupyter notebook which demonstrates integration with each of these three environments. They are located in ``~/primaite/<VERSION>/notebooks/example_notebooks``.
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@@ -20,6 +20,11 @@ The game layer is responsible for managing agents and getting them to interface
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PrimAITE Session
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^^^^^^^^^^^^^^^
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.. admonition:: Deprecated
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:class: deprecated
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PrimAITE Session is being deprecated in favour of Jupyter Notebooks. The `session` command will be removed in future releases, but example notebooks will be provided to demonstrate the same functionality.
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``PrimaiteSession`` is the main entry point into Primaite and it allows the simultaneous coordination of a simulation and agents that interact with it. ``PrimaiteSession`` keeps track of multiple agents of different types.
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Agents
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@@ -4,6 +4,11 @@
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.. _run a primaite session:
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.. admonition:: Deprecated
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:class: deprecated
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PrimAITE Session is being deprecated in favour of Jupyter Notebooks. The ``session`` command will be removed in future releases, but example notebooks will be provided to demonstrate the same functionality.
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Run a PrimAITE Session
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======================
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