Approximate policy iteration (API) has been shown to be a class of reinforcementlearning methods with stability and sample efficiency. However, sample collection is still an open problem which is critical to the perf...
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A common technique for dealing with the curse of dimensionality in approximate dynamicprogramming is to use a parametric value function approximation, where the value of being in a state is assumed to be a linear com...
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reinforcementlearning offers a very general framework for learning controllers, but its effectiveness is closely tied to the controller parameterization used. Especially when learning feedback controllers for weakly ...
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In reinforcementlearning problems, the construction of subgoals has been identified as an important step to speed up learning and to enable skill transfer. For this purpose, one typically extracts states from various...
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Empirical evaluations play an important role in machine learning. However, the usefulness of any evaluation depends on the empirical methodology employed. Designing good empirical methodologies is difficult in part be...
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We propose a strategy for experiment selection - in the context of reinforcementlearning - based on the idea that the most interesting experiments to carry out at some stage are those that are the most liable to fals...
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reinforcementlearning (RL) allows agents to learn how to optimally interact with complex environments. Fueled by recent advances in approximation-based algorithms, RL has obtained impressive successes in robotics, ar...
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We consider a make-to-order business that serves customers in multiple priority classes. Orders from customers in higher classes bring greater revenue, but they expect shorter lead times than customers in lower classe...
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In this paper we present a perspective on the relationship between learning and representation in sequential decision making tasks. We undertake a brief survey of existing real-world applications, which demonstrates t...
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Climate change is one of the most important challenges faced by the world this century. In the U.S., the electric power industry is the largest emitter of CO2, contributing to the climate crisis. Federal emissions con...
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