diff --git a/docs/src/index.rst b/docs/src/index.rst
index 412a0602..5c2bf198 100644
--- a/docs/src/index.rst
+++ b/docs/src/index.rst
@@ -27,14 +27,11 @@ for pre-existing projects to prototype RL as a potential solution.
    release
    overview
    gridworld
-   simulations/simulations
    featured_usage/featured_usage
    install
    tutorials/tutorials
    api
 
-.. TODO: Move featured usage to the top?
-
 Citation
 --------
 
diff --git a/docs/src/release.rst b/docs/src/release.rst
index 6ec43eb3..39b75eea 100644
--- a/docs/src/release.rst
+++ b/docs/src/release.rst
@@ -52,16 +52,6 @@ it is facing. We foresee many applications of this type of movement, including
 usage in our new :ref:`pacman game <simulation_pacman>`.
 
 
-Simulations
------------
-
-.. # TODO: Need to fill this out
-* :ref:`Traffic corridor <simulations_traffic_corridor>` simulates agents navigating
-  a tight corridor. They must cooperate by taking turns in order for all of them
-  to make it through.
-* :ref:`Pacman <simulation_pacman>` variation simulates the Pacman arcade game.
-
-
 Miscellaneous
 -------------
 
@@ -81,6 +71,11 @@ Other Features
 * :ref:`Ranomize placement order <api_gridworld_state_position>` parameter for randomly
   iterating through dictionary of agents when initially placing them in the grid.
 * Gridworld agents have customizable ``render_size``, which defaults to 200.
+* :ref:`Traffic corridor <simulations_traffic_corridor>` simulates agents navigating
+  a tight corridor. They must cooperate by taking turns in order for all of them
+  to make it through.
+* :ref:`Pacman <simulation_pacman>` variation simulates the Pacman arcade game,
+  with support for training the "baddie" agents too.
 
 Bug fixes
 `````````
diff --git a/docs/src/simulations/simulations.rst b/docs/src/simulations/simulations.rst
deleted file mode 100644
index 4473fdc8..00000000
--- a/docs/src/simulations/simulations.rst
+++ /dev/null
@@ -1,20 +0,0 @@
-.. Abmarl built in simulations.
-
-Simulations
-===========
-
-Abmarl provides several built-in simulations to help you get started with agent-based
-simulation and reinforcement learning. Below is an index of those simulations, and
-each page contains descriptive information on the simulation and examples of running
-them.
-
-.. toctree::
-   :maxdepth: 1
-   :caption: Built-in Simulations
-
-   multi_corridor
-   maze
-   team_battle
-   traffic_corridor
-   pacman
-   ...