A symmetry property for $$q$$ q -weighted Robinson–Schensted and other branching insertion algorithms
نویسندگان
چکیده
منابع مشابه
Weighted Double Q-learning
Q-learning is a popular reinforcement learning algorithm, but it can perform poorly in stochastic environments due to overestimating action values. Overestimation is due to the use of a single estimator that uses the maximum action value as an approximation for the maximum expected action value. To avoid overestimation in Qlearning, the double Q-learning algorithm was recently proposed, which u...
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ژورنال
عنوان ژورنال: Journal of Algebraic Combinatorics
سال: 2014
ISSN: 0925-9899,1572-9192
DOI: 10.1007/s10801-014-0505-x