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» Planning with Partial Preference Models
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ECML
2005
Springer
15 years 3 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 3 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 2 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 2 days 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 1 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