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automl · May 30, 2024 · 3115b4a · 3115b4a
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diff --git a/docs/advanced_usage/index.rst b/docs/advanced_usage/index.rst
@@ -2,7 +2,6 @@ Advanced Configuration Options
 ==============================
 
 .. toctree::
-   :hidden:
    :maxdepth: 2
 
 

diff --git a/docs/basic_usage/index.rst b/docs/basic_usage/index.rst
@@ -1,15 +1,6 @@
 Benchmarking AutoRL Methods
 ============================
 
-.. toctree::
-   :hidden:
-   :maxdepth: 2
-   objectives
-   env_subsets
-   seeding
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 ARLBench provides an basis for benchmarking different AutoRL methods. This section of the documentation focuses on the prominent aspect of black-box hyperparameter optimization, since it's the simplest usecase of ARLBench.
 We discuss the structure of ARLBenchmark, the currently supported objectives, the environment subsets and search spaces we provide and the seeding of the experiments in their own subpages. 
 The most important question, however, is how to actually use ARLBench in your experiments. This is the workflow we propose:
@@ -20,3 +11,8 @@ The most important question, however, is how to actually use ARLBench in your ex
 4. Use the pre-defined search spaces to run your AutoRL method for several runs. If there is a good reason to deviate from these search spaces, please report this alongside your results.
 5. Evaluate the best found configuration on the environment test seeds and report this result.
 
+.. toctree::
+   :maxdepth: 2
+   objectives
+   env_subsets
+   seeding