Eyal Shlomo Shimony
Senior Academic
Scaling up
Solving POMDPs through value based clustering
We present here a point-based value iteration algorithm for solving POMDPs, that orders belief state backups smartly based on a clustering of the underlying MDP states. We show our SCVI algorithm to converge faster than state of the art point-based algorithms.
| Publication language | English |
| Pages | 1910-1911 |
| Publication status | Published - 28.11.2007 |
ASJC Scopus subject areas
Software
Artificial Intelligence
