Blar i Faculty of Mathematics and Natural Sciences på emneord "Deep Reinforcement Learning"
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Developing a Deep Reinforcement Learning Framework For Aggregators In The Norwegian Reserve Markets
(Master thesis, 2024-06-03)In recent years, the escalation of electricity generation from variable renewable energy sources coupled with rising electricity consumption, has introduced greater instabilities within the power grids. These instabilities ... -
Developing an Intelligent Hyperheuristic for Combinatorial Optimization Problems using Deep Reinforcement Learning
(Master thesis, 2021-09-17)There exist many problem-specific heuristic frameworks for solving combinatorial optimization problems. These can perform well for specific use-cases, however when applied to other problem domains these frameworks often ... -
Reinforcement Learning for Lifelong Multi-Agent Pathfinding in AutoStore system
(Master thesis, 2023-05-25)AutoStore (AS) uses a cubic system for warehouse automation, utilizing robots to retrieve and organize objects in a three-dimensional grid of bins in a Manhattan geometry environment. Lifelong Multi-Agent Pathfinding (LMAPF) ...