diff --git a/README.org b/README.org
index 53f40e8..1ccb291 100644
--- a/README.org
+++ b/README.org
@@ -4,12 +4,20 @@ Quack-TD is a backgammon playing algorithm based upon neural networks trained
 through TD(\lambda)-learning. The algorithm is implemented using Python 3 and
 Tensorflow.
 
-* Usage
 
+* Setup
+** Pubeval
+To use Pubeval for evaluation the Python module =pubeval= must first be
+installed. The necessary source files should be distributed alongside the main
+application and located in the =pubeval= directory. The installation can be done
+by entering the directory and running =python3 setup.py install= or =pip install
+.=.
+* Usage
+  
 The main executable is =main.py=. Various command-line options and switches can be used to
 execute different stages and modify the behaviour of the program. All
 command-line options and switches are listed by running =main.py= with the argument
-=--help=. The three central switches are listed below:
+=--help=. The central mode-switches are listed below:
 
 - =--train=: Trains the neural network for a set amount of episodes (full games
   of backgammon) set by =--episodes= (defaults to 1,000). Summary results of the
@@ -22,14 +30,17 @@ command-line options and switches are listed by running =main.py= with the argum
 - =--play=: Allows the user to interactively play a game of backgammon against
   the algorithm.
 
+- =--list-models=: Lists the models stored on in the =models= folder.
+
 ** Evaluation methods
 
 Currently, the following evaluation methods are implemented:
 
-- =pubeval=: Evaluates against the =pubeval= backgammon benchmark developed by
-  Gerald Tesauro. The source code is included in the =pubeval= directory and
-  needs to be compiled before use. The binary should be placed at
-  =pubeval/pubeval=.
+- =pubeval=: Evaluates against a Python extension based on the =pubeval=
+  backgammon benchmark developed by Gerald Tesauro. The source code is included
+  in the =pubeval= directory and needs to be installed before use. This can be
+  done by running =python3 setup.py install= or =pip install .= from the source
+  directory.
 - =random=: Evaluates by playing against a player that makes random moves drawn
   from the set of legal moves. Should be used with high episode counts to lower
   variance. *TODO*: Doesn't even work currently