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» Learning Models of Intelligent Agents
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102
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AAAI
1994
15 years 2 months ago
The Automated Mapping of Plans for Plan Recognition
To coordinate with other agents in its environment, an agent needs models of what the other agents are trying to do. When communication is impossible or expensive, this informatio...
Marcus J. Huber, Edmund H. Durfee, Michael P. Well...
IDEAL
2004
Springer
15 years 6 months ago
Policy Gradient Method for Team Markov Games
The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team pro...
Ville Könönen
AAAI
2006
15 years 2 months ago
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
Meinolf Sellmann, Carlos Ansótegui
84
Voted
AAAI
2007
15 years 3 months ago
KSU Willie in Semantic Vision Challenge
The KSU Willie entry in the Semantic Vision Challenge will use a variety of classifiers, some standard classifiers and some newly developed classifiers, to learn the classificatio...
David Gustafson, Aaron Chavez, Michael Marlen, And...
99
Voted
AAAI
2006
15 years 2 months ago
Semantic Tagging at the Sense Level
This paper summarizes our research in the area of semantic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation using a c...
Alina Andreevskaia, Sabine Bergler