Search for dissertations about: "Reinforcement learning"
Showing result 1 - 5 of 82 swedish dissertations containing the words Reinforcement learning.
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1. The reinforcement learning method : A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities
Abstract : Over half of the world’s population lives in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. READ MORE
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2. Towards Manipulator Learning by Demonstration and Reinforcement Learning
Abstract : This thesis address how robotic arms, called manipulators, can learn a task demonstrated by a teacher. The concept of showing a robot a task, instead of manually programming it, is appealing since it makes it easier to instruct robots. READ MORE
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3. Sample Efficient Bayesian Reinforcement Learning
Abstract : Artificial Intelligence (AI) has been an active field of research for over a century now. The research field of AI may be grouped into various tasks that are expected from an intelligent agent; two major ones being learning & inference and planning . READ MORE
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4. 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
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5. Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems
Abstract : As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. READ MORE
