11 search results - page 2 / 3 » Efficient methods for near-optimal sequential decision makin... |
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
AAAI
2008
13 years 7 months ago
2008
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
ECAI
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
JAIR
2008
13 years 5 months ago
2008
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...