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1

Morillo, Carolyn R. Contingent creatures: A reward event theory of motivation and value. Littlefield Adams Books, 1995.

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2

Maurilus, Emmy. The Effect of the Establishment of Reinforcement Value for Math on Rate of Learning for Pre-Kindergarten Students. [publisher not identified], 2018.

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3

The Effect of delay and intervening events on reinforcement value. Lawrence Erlbaum, 1987.

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4

Commons, Michael L., James E. Mazur, John A. Nevin, and Howard Rachlin, eds. The Effect of Delay and of Intervening Events on Reinforcement Value. Psychology Press, 2013. http://dx.doi.org/10.4324/9781315825502.

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5

Mazur, James E. Effect of Delay and of Intervening Events on Reinforcement Value: Quantitative Analyses of Behavior, Volume V. Taylor & Francis Group, 2013.

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6

Mazur, James E. Effect of Delay and of Intervening Events on Reinforcement Value: Quantitative Analyses of Behavior, Volume V. Taylor & Francis Group, 2013.

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7

Mazur, James E. Effect of Delay and of Intervening Events on Reinforcement Value: Quantitative Analyses of Behavior, Volume V. Taylor & Francis Group, 2013.

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8

Mazur, James E. Effect of Delay and of Intervening Events on Reinforcement Value: Quantitative Analyses of Behavior, Volume V. Taylor & Francis Group, 2013.

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9

(Editor), Michael L. Commons, James E. Mazur (Editor), John A. Nevin (Editor), and Howard Rachlin (Editor), eds. The Effect of Delay and of Intervening Events on Reinforcement Value: Quantitative Analyses of Behavior, Volume V (Quantitative Analyses of Behavior). Lawrence Erlbaum, 1986.

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10

Deep Reinforcement Learning Hands-On: Apply Modern RL Methods, with Deep Q-Networks, Value Iteration, Policy Gradients, TRPO, AlphaGo Zero and More. de Gruyter GmbH, Walter, 2018.

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11

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more. Packt Publishing, 2018.

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12

Urtāns, Ēvalds. Function shaping in deep learning. RTU Press, 2021. http://dx.doi.org/10.7250/9789934226854.

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This work describes the importance of loss functions and related methods for deep reinforcement learning and deep metric learning. A novel MDQN loss function outperformed DDQN loss function in PLE computer game environments, and a novel Exponential Triplet loss function outperformed the Triplet loss function in the face re-identification task with VGGFace2 dataset reaching 85,7 % accuracy using zero-shot setting. This work also presents a novel UNet-RNN-Skip model to improve the performance of the value function for path planning tasks.
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13

Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.

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The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a
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14

Tovares, Raúl Damacio. Manufacturing the Gang. Praeger, 2002. http://dx.doi.org/10.5040/9798400682582.

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Coverage of Mexican-American youth gangs has been a staple of local television news in the United States for decades, and its form and content have come to embody many journalistic cliches: the rising tide of violence, the spread of drug addiction, the alienated minority youth. But as this bold new study argues, these stories contain gross exaggerations that lead to the reinforcement of stereotypes about Mexican-American young people and the Mexican-American community in general. Indeed, the police and community leaders greatly influence the content of this coverage by deciding what informatio
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15

Lee, Wayne E. The Cutting-Off Way. University of North Carolina PressChapel Hill, NC, 2023. https://doi.org/10.5149/northcarolina/9781469673783.001.0001.

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Abstract Incorporating archeology, anthropology, cartography, and Indigenous studies into military history, Wayne E. Lee has argued throughout his distinguished career that wars and warfare cannot be understood by a focus that rests solely on logistics, strategy, and operations. Fighting forces bring their own cultural traditions and values onto the battlefield. In this volume, Lee employs his “cutting-off way of war” (COWW) paradigm to recast Indigenous warfare in a framework of the lived realities of Native people rather than with regard to European and settler military strategies and practi
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