499 search results - page 2 / 100 » Model Minimization in Markov Decision Processes |
ICMLA
2009
13 years 5 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
ICALP
2005
Springer
14 years 29 days ago
2005
Springer
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), which are classes of (finitely presented) countable-state MDPs and zero-su...
TACAS
2007
Springer
14 years 1 months ago
2007
Springer
We study and provide efficient algorithms for multi-objective model checking problems for Markov Decision Processes (MDPs). Given an MDP, M, and given multiple linear-time (ω-regu...
ATAL
2004
Springer
14 years 26 days ago
2004
Springer
In multi-agent MDPs, it is generally necessary to consider the joint state space of all agents, making the size of the problem and the solution exponential in the number of agents...
ATAL
2010
Springer
13 years 2 months ago
2010
Springer
