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ECAI
2006
Springer
15 years 7 months ago
Possibilistic Influence Diagrams
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
Laurent Garcia, Régis Sabbadin
ICML
1994
IEEE
15 years 7 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
WSC
2007
15 years 6 months ago
Emergency departments nurse allocation to face a pandemic influenza outbreak
This study proposes a nurse allocation policy to manage patient overflow during a pandemic influenza outbreak. The objective is to minimize the number of patients waiting in queue...
Florentino Rico, Ehsan Salari, Grisselle Centeno
AAMAS
2007
Springer
15 years 4 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
PE
2007
Springer
118views Optimization» more  PE 2007»
15 years 3 months ago
Analysis and simulation of a content delivery application for vehicular wireless networks
We propose and analyze an information-sharing application for wireless intervehicular networks, called Infoshare. Infoshare leverages the broadcast nature of the wireless medium t...
Marco Fiore, Claudio Casetti, Carla-Fabiana Chiass...