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A policy gradient method is a reinforcement learning approach that directly optimizes a parametrized control policy by a variant of gradient descent.
A policy gradient method is a reinforcement learning approach that directly optimizes a parametrized control policy by a variant of gradient descent. These ...
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Policy Gradient Methods - DFKI
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A policy gradient method is a reinforcement learning approach that directly optimizes a parametrized control policy by gradient descent.
Missing: C., G. (eds)
In this paper we explore an alternative approach in which the policy is explicitly represented by its own function approximator, indepen- dent of the value ...
Missing: Sammut, Webb,
J. Peters, J.A. Bagnell, 2016, Policy Gradient Methods. In: Sammut, C., Webb, G. (eds), Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA.
A policy gradient method is a reinforcement learning approach that directly optimizes a parametrized control policy by gradient descent. It belongs to the.
[17] Peters J, Bagnell JA. Policy gradient methods. In: Sammut C, Webb GI, eds. Encyclopedia of Machine Learning and Data Mining. Boston: Springer, 2017.
Policy gradient methods are among the most effective methods in challenging reinforcement learning problems with large state and/or action spaces.
Missing: Sammut, Webb,
In Sammut C, Webb GI (eds) Encyclopedia of Machine Learning, pp. ... Konidaris G ... A State-Compensated Deep Deterministic Policy Gradient Algorithm for U...
Abstract— Machine learning techniques automate the decision- making process. These techniques, when applied to the healthcare industry, improve the health ...