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» Planning with Partial Preference Models
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ECML
2005
Springer
15 years 9 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
MATES
2007
Springer
15 years 10 months ago
Coordinating Competitive Agents in Dynamic Airport Resource Scheduling
In real-life multi-agent planning problems, long-term plans will often be invalidated by changes in the environment during or after the planning process. When this happens, short-t...
Xiaoyu Mao, Adriaan ter Mors, Nico Roos, Cees Witt...
COOPIS
2002
IEEE
15 years 9 months ago
A Defeasible Ontology Language
We extend the description logic ¢¤£¦¥¦§©¨ with a preference order on the axioms. With this strict partial order certain axioms can be overruled, if defeated with more ...
Stijn Heymans, Dirk Vermeir
AAAI
2007
15 years 6 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
ATAL
2007
Springer
15 years 8 months ago
Modeling plan coordination in multiagent decision processes
In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
Ping Xuan