267 search results - page 26 / 54 » Qualitative Analysis of Partially-Observable Markov Decision... |
ATAL
2003
Springer
14 years 28 days ago
2003
Springer
Given a large group of cooperative agents, selecting the right coordination or conflict resolution strategy can have a significant impact on their performance (e.g., speed of co...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
ICTAI
2005
IEEE
14 years 1 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
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AAAI
2012
11 years 10 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
AIPS
2000
13 years 9 months ago
2000
1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...