Empirically evaluating multiagent reinforcement learning algorithms in repeated games
This dissertation presents a platform for running experiments on multiagent reinforcement learning algorithms and an empirical evaluation that was conducted on the platform. The setting under consideration is game theoretic in which a single normal form game is repeatedly played. There has been a...
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| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/2429/16633 |