Causal Graph Based Dynamic Optimization of Hierarchies for Factored MDPs

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@InProceedings{Wang:2012:WI-IAT,

• author = "Hongbing Wang and Jiancai Zhou and Xuan Zhou",
• booktitle = "IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT 2012)",
• title = "Causal Graph Based Dynamic Optimization of Hierarchies for Factored MDPs",
• year = "2012",
• volume = "1",
• pages = "579--582",
• month = "4-7 " # dec,
• address = "Macau, China",
• isbn13 = "978-1-4673-6057-9",
• DOI = "doi:10.1109/WI-IAT.2012.59",
• size = "4 pages",
• abstract = "This paper presents an approach based on casual graph to optimise the task hierarchies for Hierarchical Reinforcement Learning (HRL). We conducted experiments to show that the resulting task hierarchies can improve effectiveness of reinforcement leaning.",
• keywords = "genetic algorithms, genetic programming, Complex systems, casual graph, hierarchical reinforcement learning",
• notes = "Also known as \cite{6511944}",

}

Genetic Programming entries for Hongbing Wang Jiancai Zhou Xuan Zhou

Citations