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TCIAIG
2010
14 years 6 months ago
The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model
Abstract--Fingerprinting operators generate functional signatures of game players and are useful for their automated analysis independent of representation or encoding. The theory ...
Jeffrey Tsang
ATAL
2008
Springer
15 years 1 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
102
Voted
BIOWIRE
2007
Springer
15 years 5 months ago
Coalition Games and Resource Allocation in Ad-Hoc Networks
In this paper we explore some of the connections between cooperative game theory and the utility maximization framework for routing and flow control in networks. Central to both a...
Richard J. Gibbens, Peter B. Key
TSMC
2008
146views more  TSMC 2008»
14 years 11 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
IAT
2010
IEEE
14 years 9 months ago
Concept Learning Games: The Game of Query and Response
Abstract--This article deals with the issue of concept learning and tries to have a game theoretic view over the process of cooperative concept learning among agents in a multi-age...
Nima Mirbakhsh, Arman Didandeh, Mohsen Afsharchi