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» Learning of Agents with Limited Resources
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CIA
2007
Springer
14 years 1 months ago
Managing Sensors and Information Sources Using Semantic Matchmaking and Argumentation
Abstract. Effective deployment and utilisation of limited and constrained intelligence resources — including sensors and other sources — is seen as a key issue in modern multin...
Alun D. Preece

Publication
233views
12 years 6 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
IJCAI
2007
13 years 9 months ago
A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources
Agents often have to construct plans that obey deadlines or, more generally, resource limits for real-valued resources whose consumption can only be characterized by probability d...
Janusz Marecki, Sven Koenig, Milind Tambe
MMNS
2003
135views Multimedia» more  MMNS 2003»
13 years 9 months ago
Pervasive Accounting of Resource Consumption for Wireless Services with Adaptive QoS
Wireless communications and device miniaturization are enabling pervasive scenarios where the limited resource availability and the wide heterogeneity of access terminals make cruc...
Paolo Bellavista, Antonio Corradi, Silvia Vecchi
ATAL
2005
Springer
14 years 1 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls