Learning hierarchical behaviors Export

@misc{citeulike:2259558, abstract = {: In the last few years, many researchers have begun to study how to introduce hierarchy into reinforcement learning methods. Generally, this work has pushed the envelope in one of several important directions, but it typically has avoided the question of how to learn systems of hierarchical behavior from experience. We present a preliminary system for learning simple hierarchical systems using a constrained language for behavior specification. The system learns \"do-until\" macros by choosing a ...}, author = {Andre, D.}, citeulike-article-id = {2259558}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.5775}, keywords = {behaviors, computational-learning, hierarchies}, posted-at = {2008-01-20 02:20:48}, priority = {2}, title = {Learning hierarchical behaviors}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.5775}, year = {1998} }

TY - GEN ID - citeulike:2259558 L3 - citeulike-article-id:2259558 N2 - : In the last few years, many researchers have begun to study how to introduce hierarchy into reinforcement learning methods. Generally, this work has pushed the envelope in one of several important directions, but it typically has avoided the question of how to learn systems of hierarchical behavior from experience. We present a preliminary system for learning simple hierarchical systems using a constrained language for behavior specification. The system learns "do-until" macros by choosing a ... TI - Learning hierarchical behaviors KW - behaviors KW - computational-learning KW - hierarchies AU - Andre, D PY - 1998/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.5775 ER -