Solution Of Delayed Reinforcement Learning Problems Having Continuous Action Spaces
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Efficient Algorithms for Structured Output Learning Balamurugan, P (2018-05-08)Structured output learning is the machine learning task of building a classiﬁer to predict structured outputs. Structured outputs arise in several contexts in diverse applications like natural language processing, computer ...
On Learning k-Parities and the Complexity of k-Vector-SUM Gadekar, Ameet (2018-02-06)In this work, we study two problems: first is one of the central problem in learning theory of learning sparse parities and the other k-Vector-SUM is an extension of the not oriousk-SUM problem. We first consider the problem ...
Approximate Dynamic Programming and Reinforcement Learning - Algorithms, Analysis and an Application Lakshminarayanan, Chandrashekar (2018-08-13)Problems involving optimal sequential making in uncertain dynamic systems arise in domains such as engineering, science and economics. Such problems can often be cast in the framework of Markov Decision Process (MDP). ...