jyizheng/aima-python

Policy iteration does not work

Closed this issue · 3 comments

What steps will reproduce the problem?
1. Attempt to use the policy iteration algorithm

What is the expected output? What do you see instead?

Policy iteration should iterate several times before converging to a
solution. Instead, it converges after exactly one iteration.

What version of the product are you using? On what operating system?

The version posted on http://aima.cs.berkeley.edu/python/mdp.html, using
Python 2.6

Please provide any additional information below.

I've attached a fixed version of the file. The only line that changes
is 139:

U[s] = R(s) + gamma * sum([p * U[s1] for (p, s1) in T(s, pi[s])])




Original issue reported on code.google.com by srbur...@gmail.com on 29 Apr 2010 at 5:54

Attachments:

[deleted comment]
Fixed in r30.

Original comment by wit...@gmail.com on 15 Sep 2011 at 4:19

Original comment by wit...@gmail.com on 15 Sep 2011 at 4:20

  • Changed state: Fixed