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APPROX
2005
Springer
14 years 28 days ago
2005
Springer
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
FLAIRS
2009
13 years 5 months ago
2009
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
PVLDB
2008
13 years 6 months ago
2008
Access control is the problem of regulating access to secret information based on certain context information. In traditional applications, context information is known exactly, p...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
AIPS
2007
13 years 9 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...