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Influence Graph based Task Decomposition and State Abstraction in Reinforcement Learning.

, , , , and . ICYCS, page 136-141. IEEE Computer Society, (2008)

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Research on task decomposition and state abstraction in reinforcement learning., , and . Artif. Intell. Rev., 38 (2): 119-127 (2012)Information Decay in Building Predictive Models Using Temporal Data., and . JSW, 7 (2): 479-484 (2012)Multi-Agent Automated Intelligent Shopping System (MAISS)., , , and . ICYCS, page 665-670. IEEE Computer Society, (2008)Research on an Intelligent Liquid Lamp Inspector Based on Machine Vision., , and . IEA/AIE, volume 9101 of Lecture Notes in Computer Science, page 549-558. Springer, (2015)Nash Equilibrium: Better Strategy for Agents Coordination., , and . APSCC, page 795-800. IEEE Computer Society, (2008)A Two-Phase Trust and Reputation Based Multi-Agent System (MAS) e-Loan Negotiation System., and . ICDMA, page 125-128. IEEE Computer Society, (2011)An effective data collection algorithm for wireless sensor network., , and . Computing, 95 (9): 723-738 (2013)Influence Graph based Task Decomposition and State Abstraction in Reinforcement Learning., , , , and . ICYCS, page 136-141. IEEE Computer Society, (2008)Studies on Hierarchical Reinforcement Learning in Multi-Agent Environment., , , and . ICNSC, page 1714-1720. IEEE, (2008)A Multi-agent Reinforcement Learning with Weighted Experience Sharing., and . ICIC (2), volume 6839 of Lecture Notes in Computer Science, page 219-225. Springer, (2011)