diff --git a/HISTORY b/HISTORY
index 8cacc65dafd8673e925645134168257f3daf1279..f3a385ac39b3af7c983eb7f42f4b63777beda01b 100644
--- a/HISTORY
+++ b/HISTORY
@@ -1,3 +1,11 @@
+2013-01-26
+v0.14 - the linear programming code has been finalised, however there is currently no way to turn of the progress status of the
+	lp solver from the cvxopt module. One unit test has been written. To use linear programming method:
+	>>> import mdp
+	>>> P, R = mdp.exampleForest()
+	>>> lp = mdp.LP(P, R, 0.9)
+	>>> lp.iterate() # and after some output from cvxopt.solvers.lp the optimal policy can be shown with lp.policy
+
 2013-01-25
 v0.13 - the FiniteHorizon class has been fixed. No unit tests yet.
 	>>> import mdp
diff --git a/NEWS b/NEWS
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..c13ad90abfd61afab7c88882e22afafc12740f8b 100644
--- a/NEWS
+++ b/NEWS
@@ -0,0 +1,5 @@
+2013-01-26
+The release of v0.14 will be made today. With this all the functionality should be available to use. The initial version release
+of 4.0 will be made once the documentation has been finalised and unit tests have been written to cover all of the classes.
+The first release will be 4.0 to match the MATLAB/Octave/Scilab/R MDP Toolboxes that are available at
+http://www.inra.fr/mia/T/MDPtoolbox/
diff --git a/setup.py b/setup.py
index 1f18c5f08ae9d18fce8d01c33875f52ba3b287fe..2e7dcdb2210dacc6730a48959a0a824b3860e49d 100644
--- a/setup.py
+++ b/setup.py
@@ -3,7 +3,7 @@
 from distutils.core import setup
 
 setup(name="PyMDPtoolbox",
-      version="0.13",
+      version="0.14",
       description="Python Markov Decision Problem Toolbox",
       author="Steven Cordwell",
       author_email="steven.cordwell@uqconnect.edu.au",