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» Learning Models of Intelligent Agents
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145
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PRICAI
2000
Springer
15 years 7 months ago
Task Models, Intentions, and Agent Conversation Policies
It is possible to define conversation policies, such as communication or dialogue protocols, that are based strictly on what messages and, respectively, what performatives may foll...
Renee Elio, Afsaneh Haddadi, Ajit Singh
95
Voted
CIG
2005
IEEE
15 years 9 months ago
Utile Coordination: Learning Interdependencies Among Cooperative Agents
AbstractWe describe Utile Coordination, an algorithm that allows a multiagent system to learn where and how to coordinate. The method starts with uncoordinated learners and maintai...
Jelle R. Kok, Pieter Jan't Hoen, Bram Bakker, Niko...
117
Voted
FLAIRS
2003
15 years 5 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
115
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CEC
2008
IEEE
15 years 10 months ago
On the generality of the evolved driving rules of an agent operating a model of a car
—We present an approach for automated evolutionary design of the functionary of driving agent, able to operate a software model of fast running car. The objective of our work is ...
Hirotaka Yamazaki, Ivan Tanev, Tomoyuki Hiroyasu, ...
ICMLA
2007
15 years 5 months ago
Learning to evaluate conditional partial plans
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Slawomir Nowaczyk, Jacek Malec