|Partially Observable Markov Decision Processes|
This is a tutorial aimed at trying to build up the intuition behind solution procedures for partially observable Markov decision processes (POMDPs). It sacrifices completeness for clarity. It tries to present the main problems geometrically, rather than with a series of formulas. In fact, we avoid the actual formulas altogether, try to keep notation to a minimum and rely on pictures to build up the intuition.
We try to keep the required background to a minimum and provide some brief mini-tutorials on the required background material. Select one of these below
Here is a complete index of all the pages in this tutorial.
|© 2003-2005, Anthony R. Cassandra|