| Document Date: 2013-01-15 17:48:25
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City San Francisco / Cambridge / New York / / Company John Wiley and Sons Inc. / MIT Press / Bernstein / / Country United States / Chad / / / Event Man-Made Disaster / Reorganization / / Facility Stanford University / / IndustryTerm elementary solutions / cooperative multiagent systems / reinforcement learning algorithm / multiagent reinforcement learning heuristic solutions / multiagent systems / reinforcement learning algorithms / proposed multiagent reinforcement learning algorithms / local spatial rewards algorithm / equilibria solution / multi-agent reinforcement learning algorithms / appropriate algorithm / distributed bayesian network / fire tower network / / Organization Institut National de Recherche Agronomique Unit´e / MIT / Stanford University / Universite Nancy / / Person Morgan Kaufmann / Bertrand Bouteiller / / Position SMA l’aide / rt / / ProvinceOrState New York / California / Massachusetts / / PublishedMedium Machine Learning / / RadioStation 1599 With / / SportsLeague Stanford University / / Technology reinforcement learning algorithms / multi-agent reinforcement learning algorithms / artificial intelligence / appropriate algorithm / Q-learning algorithms / distributed Q-learning algorithms / RL algorithms / local spatial rewards algorithm / Machine Learning / simulation / Multiagent Reinforcement Learning algorithms / multiagent Q-learning algorithms / reinforcement learning algorithm / previously proposed multiagent reinforcement learning algorithms / Q-Learning algorithm / easily be found using an appropriate algorithm / /
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