337 search results - page 10 / 68 » Mean-Variance Optimization in Markov Decision Processes |
AAAI
1997
13 years 9 months ago
1997
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
ICTAI
2000
IEEE
13 years 11 months ago
2000
IEEE
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
MFCS
2010
Springer
13 years 6 months ago
2010
Springer
We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with parity objectives. An observationbased strategy relies on partial information...
TALG
2010
13 years 6 months ago
2010
We present two new algorithms for finding optimal strategies for discounted, infinite-horizon, Deterministic Markov Decision Processes (DMDP). The first one is an adaptation of...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We establish the existence of optimal scheduling strategies for time-bounded reachability in continuous-time Markov decision processes, and of co-optimal strategies for continuous-...