Learning Average Reward Irreducible Stochastic Games: Analysis and Applications
A large class of sequential decision making problems under uncertainty with multiple competing decision makers/agents can be modeled as stochastic games. Stochastic games having Markov properties are called Markov games or competitive Markov decision processes. This dissertation presents an approach...
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| Format: | Others |
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Scholar Commons
2003
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| Online Access: | https://scholarcommons.usf.edu/etd/1418 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=2417&context=etd |