Reinforcement Control with Hierarchical Backpropagated Adaptive Critics

Abstract

Present incremental learning methods are limited in the ability to achieve reliable credit assignment over a large number time steps (or events). However, this situation is typical for cases where the dynamical system to be controlled requires relatively frequent control updates in order to maintain stability or robustness yet has some action/consequences… (More)

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Cite this paper

@article{Jameson2015ReinforcementCW, title={Reinforcement Control with Hierarchical Backpropagated Adaptive Critics}, author={John W. Jameson}, journal={CoRR}, year={2015}, volume={abs/1512.02693} }