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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Playing is believing: the role of beliefs in multi-agent learning

Chang, Yu-Han, Kaelbling, Leslie P. 01 1900 (has links)
We propose a new classification for multi-agent learning algorithms, with each league of players characterized by both their possible strategies and possible beliefs. Using this classification, we review the optimality of existing algorithms and discuss some insights that can be gained. We propose an incremental improvement to the existing algorithms that seems to achieve average payoffs that are at least the Nash equilibrium payoffs in the long-run against fair opponents. / Singapore-MIT Alliance (SMA)
multi-agent learning algorithm
repeated games
belief
game theory
Matrix games
Nash equilibrium
Stochastic games
Reinforcement learning
PHC-Exploiter

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