267 search results - page 24 / 54 » Qualitative Analysis of Partially-Observable Markov Decision... |
AAAI
2010
13 years 9 months ago
2010
Planning in large, partially observable domains is challenging, especially when a long-horizon lookahead is necessary to obtain a good policy. Traditional POMDP planners that plan...
SODA
2010
ACM
14 years 5 months ago
2010
ACM
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
AIPS
2004
13 years 9 months ago
2004
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
HICSS
2003
IEEE
14 years 29 days ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
GIS
1995
ACM
13 years 11 months ago
1995
ACM
: Usually spatial planning problems involve a large number of decision makers with different backgrounds and interests. The process of Collaborative Spatial Decision Making (CSDM)...