update to HISTORY and setup.py ready for v0.10 tag

HISTORY

+2013-01-25
+v0.10 - the RelativeValueIteration class has been completed and fulfils the requirements to bump up the version number.
+	>>> import mdp
+	>>> P, R = mdp.exampleForest()
+	>>> rvi = mdp.RelativeValueIteration(P, R) # this algorithm does not use discounting
+	>>> rvi.iterate() # runs the algorithm
+	>>> rvi.policy # to get the optimal policy
+	(0, 0, 0)
+
+Pre 2013-01-25
 v0.9 - the value iteration Gauss-Seidel algorithm is now in working order. The class ValueIterationGS should be stable and usable. Use like this:
 	>>> import mdp
 	>>> P, R = mdp.exampleRand(10, 3) # to create a random transition and reward matrices with 10 states and 3 actions

setup.py

@@ -3,11 +3,11 @@
 from distutils.core import setup
 
 setup(name="PyMDPtoolbox",
-      version="0.9",
+      version="0.10",
       description="Python Markov Decision Problem Toolbox",
       author="Steven Cordwell",
       author_email="steven.cordwell@uqconnect.edu.au",
       url="http://code.google.com/p/pymdptoolbox/",
-      license="Modified BSD License",
+      license="New BSD License",
       py_modules=["mdp"],
       requires=["math", "numpy", "random", "scipy", "time"],)
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