Search for dissertations about: "Bayesian Reinforcement Learning"

Showing result 1 - 5 of 8 swedish dissertations containing the words Bayesian Reinforcement Learning.

  1. 1. Sample Efficient Bayesian Reinforcement Learning

    Author : Divya Grover; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Decision Making under Uncertainty; Bayesian Reinforcement Learning; Model based 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

  2. 2. Computational Modeling of the Basal Ganglia : Functional Pathways and Reinforcement Learning

    Author : Pierre Berthet; Anders Lansner; Kenji Doya; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; computational neuroscience; modelisation; reinforcement learning; basal ganglia; dopamine; datalogi; Computer Science;

    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

  3. 3. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits

    Author : Philip Tully; Anders Lansner; Matthias Hennig; Gordon Pipa; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayes rule; synaptic plasticity and memory modeling; intrinsic excitability; naïve Bayes classifier; spiking neural networks; Hebbian learning; neuromorphic engineering; reinforcement learning; temporal sequence learning; attractor network; Datalogi; Computer Science;

    Abstract : Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. READ MORE

  4. 4. Energy consumption prediction and routing for electric commercial vehicles

    Author : Rafael Basso; Chalmers University of Technology; []
    Keywords : TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ENGINEERING AND TECHNOLOGY; Green Logistics; Vehicle Routing; Bayesian Inference; Eco-Routing; Reinforcement Learning; Electric Vehicles; Machine Learning; Energy Consumption;

    Abstract : With the recent growing interest for electric vehicles as one of the initiatives to help tackle pollution and climate change, several opportunities and challenges emerge. This kind of vehicle releases no tailpipe emissions, is quieter, more energy efficient in terms of tank-to-wheels and simpler, which can lead to less maintenance. READ MORE

  5. 5. Applications of Information Inequalities to Linear Systems : Adaptive Control and Security

    Author : Ingvar Ziemann; Henrik Sandberg; Alexandre Proutiere; Nikolai Matni; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stochastic Adaptive Control; Machine Learning; Fisher Information; Secure Control; Fundamental Limitations; Reinforcement Learning; Electrical Engineering; Elektro- och systemteknik;

    Abstract : This thesis considers the application of information inequalities, Cramér-Rao type bounds, based on Fisher information, to linear systems. These tools are used to study the trade-offs between learning and performance in two application areas: adaptive control and control systems security. READ MORE