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- Constructing_skill_trees abstract "Constructing skill trees (CST) is a hierarchical reinforcement learning algorithm which can build skill trees from a set of sample solution trajectories obtained from demonstration. CST uses an incremental MAP(maximum a posteriori ) change point detection algorithm to segment each demonstration trajectory into skills and integrate the results into a skill tree. CST was introduced by George Konidaris, Scott Kuindersma, Andrew Barto and Roderic Grupen in 2010.".
- Constructing_skill_trees wikiPageID "33986538".
- Constructing_skill_trees wikiPageRevisionID "514716387".
- Constructing_skill_trees hasPhotoCollection Constructing_skill_trees.
- Constructing_skill_trees subject Category:Machine_learning_algorithms.
- Constructing_skill_trees comment "Constructing skill trees (CST) is a hierarchical reinforcement learning algorithm which can build skill trees from a set of sample solution trajectories obtained from demonstration. CST uses an incremental MAP(maximum a posteriori ) change point detection algorithm to segment each demonstration trajectory into skills and integrate the results into a skill tree. CST was introduced by George Konidaris, Scott Kuindersma, Andrew Barto and Roderic Grupen in 2010.".
- Constructing_skill_trees label "Constructing skill trees".
- Constructing_skill_trees sameAs m.0hn9txq.
- Constructing_skill_trees sameAs Q5164411.
- Constructing_skill_trees sameAs Q5164411.
- Constructing_skill_trees wasDerivedFrom Constructing_skill_trees?oldid=514716387.
- Constructing_skill_trees isPrimaryTopicOf Constructing_skill_trees.