MACHINE LEARNING COURSE Fall[removed]Hierarchical Multi-Agent Reinforcement Learning for Dynamic Coverage Control - Process agent - Document - PDFSEARCH.IO

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	MACHINE LEARNING COURSE / Fall[removed]Hierarchical Multi-Agent Reinforcement Learning for Dynamic Coverage Control Add to Reading List Document Date: 2009-09-27 12:55:32 Open Document File Size: 211,17 KB Share Result on Facebook Company Discrete Event Dynamic Systems / / / Facility University of Tehran / / IndustryTerm multiagent systems / hierarchical algorithms / proposed learning algorithms / large applications / hierarchal multiagent reinforcement learning algorithms / learning algorithm / learning algorithms / / Organization University of Tehran / / Position programmer / / PublishedMedium Control Engineering / Journal of Artificial Intelligence Research / Machine Learning / / Technology multi-agent Q-learning algorithm / learning algorithm / learning algorithms / hierarchical algorithms / two hierarchal multiagent reinforcement learning algorithms / Cooperative HRL algorithm / MACHINE LEARNING / flat algorithms / proposed learning algorithms / Simulation / classical RL algorithms / Selfish Multiagent HRL algorithms / / SocialTag Reinforcement learning Complex systems theory Multi-agent systems Q-learning Action selection Machine learning Agent-based model Reinforcement Markov decision process Statistics

MACHINE LEARNING COURSE / Fall[removed]Hierarchical Multi-Agent Reinforcement Learning for Dynamic Coverage ControlAdd to Reading List