280 search results - page 4 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
AIPS
1998
13 years 7 months ago
1998
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
NIPS
2003
13 years 7 months ago
2003
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
CAINE
2003
13 years 7 months ago
2003
The Partially Observable Markov Decision Process (POMDP) model is explored for high level decision making for Unmanned Air Vehicles (UAVs). The type of UAV modeled is a flying mun...
AAAI
2004
13 years 7 months ago
2004
We introduce the generalized semi-Markov decision process (GSMDP) as an extension of continuous-time MDPs and semi-Markov decision processes (SMDPs) for modeling stochastic decisi...
AAAI
1994
13 years 7 months ago
1994
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...