Search for dissertations about: "Monte Carlo tree search"
Showing result 1 - 5 of 6 swedish dissertations containing the words Monte Carlo tree search.
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1. Tactical decision-making for autonomous driving: A reinforcement learning approach
Abstract : The tactical decision-making task of an autonomous vehicle is challenging, due to the diversity of the environments the vehicle operates in, the uncertainty in the sensor information, and the complex interaction with other road users. This thesis introduces and compares three general approaches, based on reinforcement learning, to creating a tactical decision-making agent. READ MORE
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2. Decision-Making in Autonomous Driving using Reinforcement Learning
Abstract : The main topic of this thesis is tactical decision-making for autonomous driving. An autonomous vehicle must be able to handle a diverse set of environments and traffic situations, which makes it hard to manually specify a suitable behavior for every possible scenario. READ MORE
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3. Bayesian structure learning in graphical models
Abstract : This thesis consists of two papers studying structure learning in probabilistic graphical models for both undirected graphs anddirected acyclic graphs (DAGs).Paper A, presents a novel family of graph theoretical algorithms, called the junction tree expanders, that incrementally construct junction trees for decomposable graphs. READ MORE
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4. Robot Manipulation Planning Among Obstacles: Grasping, Placing and Rearranging
Abstract : This thesis presents planning algorithms for three different robot manipulation tasks: fingertip grasping, object placing and rearranging. Herein, we place special attention on addressing these tasks in the presence of obstacles. READ MORE
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5. Decipher protein complex structures from sequence
Abstract : Proteins are essential constituents of biological systems. A profound understanding of protein structure is significant for unraveling the intricate mechanisms of biological processes. The recent development of computational methods using AI technology is revolutionizing the structural biology field. READ MORE