Search for dissertations about: "Reinforcement for paper"
Showing result 1 - 5 of 72 swedish dissertations containing the words Reinforcement for paper.
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1. Strength Properties of Paper produced from Softwood Kraft Pulp : Pulp Mixture, Reinforcement and Sheet Stratification
Abstract : For paper producers, an understanding of the development of strength properties in the paper is of uttermost importance. Strong papers are important operators both in the traditional paper industry as well as in new fields of application, such as fibre-based packaging, furniture and light-weight building material. READ MORE
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2. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms
Abstract : Wireless data communication is a complex phenomenon. Wireless links encounter random, time-varying, channel effects that are challenging to predict and compensate. Hence, to optimally utilize the channel, wireless links adapt the data transmission parameters in real time. READ MORE
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3. Some aspects on strength properties in paper composed of different pulps
Abstract : For papermakers, an understanding of the development of strength properties in the paper is of uttermost importance. Strong papers are desirable both in the traditional paper industry as well as in new fields of application, such as fibre-based packaging and light-weight building material. READ MORE
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4. Priors and uncertainty in reinforcement learning
Abstract : Handling uncertainty is an important part of decision-making. Leveraging uncertainty for guiding exploration to discover higher rewards has been a standard approach for a long time, using both ad hoc and more principled approaches. READ MORE
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5. Computational Modeling of the Basal Ganglia : Functional Pathways and Reinforcement Learning
Abstract : We perceive the environment via sensor arrays and interact with it through motor outputs. The work of this thesis concerns how the brain selects actions given the information about the perceived state of the world and how it learns and adapts these selections to changes in this environment. READ MORE