Search for dissertations about: "Reinforcement"

Showing result 21 - 25 of 491 swedish dissertations containing the word Reinforcement.

  2. 21. Harvesting Based Communications for Wireless Control Systems : Event-Trigger and Reinforcement Learning Based Transmission Policies

    Author : Ruslan Seifullaev; Steffi Knorn; Anders Ahlén; Fredrik Gustafsson; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; wireless control systems; energy harvesting; event-triggered control; Lyapunov stability analysis; fading channel; quantized data; Markov models; Bayesian estimation; reinforcement learning; dynamic programming; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : Wireless control systems have gained considerable attention in recent years due to their numerous advantages, including increased flexibility and scalability, reduced wiring complexity, and cost-efficiency. Despite these benefits, the use of communication networks in control loops poses various challenges, such as sampled data, latency, packet dropouts, etc. READ MORE

  4. 22. Minimizing Regret in Combinatorial Bandits and Reinforcement Learning

    Author : Mohammad Sadegh Talebi Mazraeh Shahi; Alexandre Proutiere; Mikael Johansson; Ronald Ortner; KTH; []
    Keywords : Multi-armed Bandits; Reinforcement Learning; Regret Minimization; Statistics; Electrical Engineering; Elektro- och systemteknik;

    Abstract : This thesis investigates sequential decision making tasks that fall in the framework of reinforcement learning (RL). These tasks involve a decision maker repeatedly interacting with an environment modeled by an unknown finite Markov decision process (MDP), who wishes to maximize a notion of reward accumulated during her experience. READ MORE

  5. 23. Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning

    Author : Quantao Yang; Todor Stoyanov; Johannes A. Stork; Gerhard Neumann; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Robot Manipulation; Transfer Learning; Safety Constraints; Prior Knowledge Learning;

    Abstract : Advancements in robotics and artificial intelligence have paved the way for autonomous agents to perform complex tasks in various domains. A critical challenge in the field of robotics is enabling robots to acquire and refine skills efficiently, allowing them to adapt and excel in diverse environments. READ MORE

  6. 24. A study of wireless communications with reinforcement learning

    Author : Wanlu Lei; Ming Xiao; Chenguang Lu; Mikael Skoglund; Geoffrey Ye Li; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reinforcement learning; wireless communications; decentralized learning; beam tracking; machine learning; Förstärkningsinlärning; trådlös kommunikation; decentrali- serad inlärning; strålspårning i mmvåg; maskininlärning; Electrical Engineering; Elektro- och systemteknik;

    Abstract :  The explosive proliferation of mobile users and wireless data traffic in recent years pose imminent challenges upon wireless system design. The trendfor wireless communications becoming more complicated, decentralized andintelligent is inevitable. READ MORE

  7. 25. On Reinforcement Learning and Digital Twins for Intelligent Automation

    Author : Constantin Cronrath; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Digital Twins; Intelligent Automation; Reinforcement Learning; manufacturing;

    Abstract : Current trends, such as the fourth industrial revolution and sustainable manufacturing, enable and necessitate manufacturing automation to become more intelligent to meet ever new design requirements in terms of flexibility, speed, quality, and cost. Two distinct research streams towards intelligent manufacturing exist in the scientific literature: the model-based digital twin approach and the data-driven learning approach. READ MORE