Skip to content
GitLab
Menu
Projects
Groups
Snippets
Loading...
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
Zahra Rajabi
pymdptoolbox
Commits
6dbe527c
Commit
6dbe527c
authored
Jan 25, 2013
by
Steven Cordwell
Browse files
update to HISTORY and setup.py ready for v0.10 tag
parent
0660caca
Changes
2
Hide whitespace changes
Inline
Side-by-side
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
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment