Search for dissertations about: "Reinforcement Learning"
Showing result 11 - 15 of 172 swedish dissertations containing the words Reinforcement Learning.
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11. 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
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12. Sensorimotor Robot Policy Training using Reinforcement Learning
Abstract : Robots are becoming more ubiquitous in our society and taking over many tasks that were previously considered as human hallmarks. Many of these tasks, e.g. READ MORE
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13. Education for Sustainability Leadership : Supporting and empowering agents for sustainability transformations
Abstract : The global challenges of our time are unprecedented and urgent action for transformation is needed of our systems, policies, institutions and ways of thinking. Education of sustainability leaders is one of the key leverage points to achieve this and many claim that learning on an individual, organisational and societal scale is required for society’s successful transitioning towards sustainability. READ MORE
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14. Robot Learning for Deformable Object Manipulation Tasks
Abstract : Deformable Object Manipulation (DOM) is a challenging problem in robotics. Until recently, there has been limited research on the subject, with most robotic manipulation methods being developed with rigid objects in mind. READ MORE
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15. Embodied Evolution of Learning Ability
Abstract : Embodied evolution is a methodology for evolutionary robotics that mimics the distributed, asynchronous, and autonomous properties of biological evolution. The evaluation, selection, and reproduction are carried out by cooperation and competition of the robots, without any need for human intervention. READ MORE