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» Learning to Optimize Plan Execution in Information Agents
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AGS
2009
Springer
14 years 3 months ago
Intelligent Agent Modeling as Serious Game
We propose a novel approach to intelligent tutoring gaming simulations designed for both educational and inquiry purposes in complex multi-actor systems such as infrastructures or...
D. W. F. van Krevelen
AAMAS
2006
Springer
13 years 8 months ago
Handling Communication Restrictions and Team Formation in Congestion Games
Abstract. There are many domains in which a multi-agent system needs to maximize a "system utility" function which rates the performance of the entire system, while subje...
Adrian K. Agogino, Kagan Tumer
AGENTS
2001
Springer
14 years 1 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
CP
2003
Springer
14 years 1 months ago
Open Constraint Optimization
Constraint satisfaction has been applied with great success in closed-world scenarios, where all options and constraints are known from the beginning and fixed. With the internet,...
Boi Faltings, Santiago Macho-Gonzalez
ALT
2008
Springer
14 years 5 months ago
Optimally Learning Social Networks with Activations and Suppressions
In this paper we consider the problem of learning hidden independent cascade social networks using exact value injection queries. These queries involve activating and suppressing a...
Dana Angluin, James Aspnes, Lev Reyzin