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» Using Learning in a Control Agent
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ECAIW
2000
Springer
15 years 11 months ago
A Hierarchy of Reactive Behaviors Handles Complexity
This paper discusses the hierarchical control architecture used to generate the behavior of individual agents and a team of robots for the RoboCup Small Size competition. Our react...
Sven Behnke, Raúl Rojas
ATAL
2003
Springer
15 years 12 months ago
Towards a pareto-optimal solution in general-sum games
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
Sandip Sen, Stéphane Airiau, Rajatish Mukhe...
AGENTS
2000
Springer
15 years 11 months ago
Automated assistants to aid humans in understanding team behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
Taylor Raines, Milind Tambe, Stacy Marsella
CVPR
2001
IEEE
16 years 8 months ago
Bayesian Learning of Sparse Classifiers
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
Anil K. Jain, Mário A. T. Figueiredo
CDC
2010
IEEE
123views Control Systems» more  CDC 2010»
15 years 1 months ago
Implicit learning for explicit discount targeting in Online Social networks
Online Social networks are increasingly being seen as a means of obtaining awareness of user preferences. Such awareness could be used to target goods and services at them. We cons...
Srinivas Shakkottai, Lei Ying, Sankalp Sah