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docs api reference
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.github/workflows/gh-pages.yml

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pip install --upgrade pip
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pip install -e .
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pip install -e .[envs]
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- name: Install docs dependencies
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docs/installation.rst

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- ``pip install -e amago[mamba]``: Enables `Mamba <https://arxiv.org/abs/2312.00752>`_ sequence model policies.
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- ``pip install -e amago[envs]``: AMAGO comes with built-in support for a wide range of existing and custom meta-RL/generalization/memory domains (``amago/envs/builtin``) used in our experiments. This command installs (most of) the dependencies you'd need to run the `examples/ <examples/>`_.
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- ``pip install -e amago[envs]``: AMAGO comes with built-in support for a wide range of existing and custom meta-RL/generalization/memory domains (:py:mod:`amago.envs.builtin`) used in our experiments. This command installs (most of) the dependencies you'd need to run the `examples/ <examples/>`_.
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.. note::
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docs/tutorial/configuration.rst

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You can view your active gin config (all the active hyperparameters used by an experiment) in the checkpoint directory as ``config.txt``, or on ``wandb`` in the ``Config`` section.
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A full API reference is available in the :doc:`/api/amago` section.
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A full API reference is available in the :doc:`API Reference </api/amago>` section.

docs/tutorial/index.rst

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Applying AMAGO to any new problem involves wrapping the environment, defining the network architecture, creating a dataset,
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and configuring the experiment. The :doc:`/examples/` include helpful starting points for common cases.
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and configuring the experiment. The :doc:` examples </examples/index>` include helpful starting points for common cases.
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.. image:: ../media/amago_overview.png
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:alt: amagoarch

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