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Zahra Rajabi
pymdptoolbox
Commits
6dbe527c
Commit
6dbe527c
authored
Jan 25, 2013
by
Steven Cordwell
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update to HISTORY and setup.py ready for v0.10 tag
parent
0660caca
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HISTORY
HISTORY
+10
-0
setup.py
setup.py
+2
-2
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HISTORY
View file @
6dbe527c
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
View file @
6dbe527c
...
...
@@ -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"
],)
\ No newline at end of file
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