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» Agent Oriented Modelling of Tactical Decision Making
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AAAI
2008
15 years 2 months ago
Maximum Entropy Inverse Reinforcement Learning
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...
Brian Ziebart, Andrew L. Maas, J. Andrew Bagnell, ...
96
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ATAL
2010
Springer
15 years 1 months ago
Heuristic search for identical payoff Bayesian games
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles St...
97
Voted
AAAI
1994
15 years 1 months ago
Exploiting Meta-Level information in a Distributed Scheduling System
In this paper, we study the problem of achieving efficient interaction in a distributed scheduling system whose scheduling agents may borrow resources from one another. Specifical...
Daniel E. Neiman, David W. Hildum, Victor R. Lesse...
IWLCS
2001
Springer
15 years 4 months ago
Explorations in LCS Models of Stock Trading
In previous papers we have described the basic elements for building an economic model consisting of a group of artificial traders functioning and adapting in an environment conta...
Sonia Schulenburg, Peter Ross
131
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AAAI
2006
15 years 1 months ago
Using an Ontology for Knowledge Acquisition
We describe an approach to distributed knowledge acquisition using an ontology. The ontology is used to represent and reason about soldier performance. These methods are embedded ...
Stacy Lovell, Webb Stacy