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Reinforcement renaissance

Communications of the ACM, 2016
The power of deep neural networks has sparked renewed interest in reinforcement learning, with applications to games, robotics, and beyond.
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Reinforced thermoplastics

Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, 1964
Abstract If a thermoplastic is placed under load, as in a normal tensile tester, the chara­cteristic stress strain curve is of the form given in figure 83. Whether the material is described as tough or brittle depends on the relation between the fracture stress and the yield stress.
R. N. Haward, J. Mann
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Network reinforcement

Mathematical Programming, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Reinforcement Comparison

1991
Sutton [in his PhD thesis] introduced a reinforcement comparison term into the equations governing certain stochastic learning automata, arguing that it should speed up learning, particularly for unbalanced reinforcement tasks. Williams's subsequent extensions [REINFORCE] to the class of algorithms demonstrated that they were all performing approximate
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When Is Reinforcement Reinforcing?

Contemporary Psychology: A Journal of Reviews, 1972
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Reinforcement Theory Reinforced

Contemporary Psychology: A Journal of Reviews, 1961
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