Feature dynamic Bayesian networks
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Description
Feature Markov Decision Processes (ΦMDPs) [Hut09] are well-suited for learning agents in general environments. Nevertheless, unstructured (Φ)MDPs are limited to relatively simple environments, Structured MDPs like Dynamic Bayesian Networks (DBNs) are us
Collections | ANU Research Publications |
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Date published: | 2009 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/58189 |
Source: | Advances in Intelligent Systems Research: Proceedings of the 2nd Conference on Artificial General Intelligence (AGI 2009) |
DOI: | 10.2991/agi.2009.6 |
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01_Hutter_Feature_dynamic_Bayesian_2009.pdf | 411.76 kB | Adobe PDF | Request a copy | |
02_Hutter_Feature_dynamic_Bayesian_2009.pdf | 36.89 kB | Adobe PDF | Request a copy |
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