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» Learning Models of Intelligent Agents
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ATAL
2007
Springer
15 years 11 months ago
Commitment-driven distributed joint policy search
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
Stefan J. Witwicki, Edmund H. Durfee
173
Voted
ATAL
2010
Springer
15 years 6 months ago
Path disruption games
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...
Yoram Bachrach, Ely Porat
ECAL
2005
Springer
15 years 10 months ago
CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms
Abstract. Recently, brain models attempt to support cognitive abilities of artificial organisms. Incremental approaches are often employed to support modelling process. The presen...
Michail Maniadakis, Panos E. Trahanias
153
Voted
IDEAL
2009
Springer
15 years 9 months ago
A Framework for Pattern-Based Global Models
Abstract. Discovering global models on a dataset (e.g., classifiers, clusterings, summaries) has attracted a lot of attention and many approaches can be found in the literature. H...
Arnaud Giacometti, Eynollah Khanjari Miyaneh, Patr...
ATAL
2007
Springer
15 years 11 months ago
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...