Sökning: "DQN"

Hittade 4 avhandlingar innehållade ordet DQN.

1. 1. Coordination and Self-Adaptive Communication Primitives for Low-Power Wireless Networks

   Författare :Valentin Poirot; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Low-power Wireless Networks; IoT; Internet of Things; Synchronous Transmissions; Distributed Systems; Wireless Sensors Networks; DQN; Reinforcement Learning; WSN; Consensus;

   Sammanfattning : The Internet of Things (IoT) is a recent trend where objects are augmented with computing and communication capabilities, often via low-power wireless radios. The Internet of Things is an enabler for a connected and more sustainable modern society: smart grids are deployed to improve energy production and consumption, wireless monitoring systems allow smart factories to detect faults early and reduce waste, while connected vehicles coordinate on the road to ensure our safety and save fuel. LÄS MER

3. 2. Ultra-Reliable and Resilient Communication Service for Cyber-Physical Systems

   Författare :Milad Ganjalizadeh; Marina Petrova; Jens Zander; Petar Popovski; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 5G; availability; cyber-physical systems CPSs ; deep Q-networks DQN ; deep reinforcement learning; distributed learning; machine learning; network slicing; reliability; soft actor-critic SAC ; ultra-reliable low-latency communications URLLC ; wireless communications.; Informations- och kommunikationsteknik; Information and Communication Technology; Datalogi; Computer Science;

   Sammanfattning : Cyber-Physical Systems (CPSs) are becoming ubiquitous in modern society, enabling new applications that rely on the seamless interaction between computing, communication, and physical processes. In this context, ultra-reliable low-latency communications (URLLC) emerges as a crucial element, reliably allowing the real-time exchange of critical data. LÄS MER

4. 3. Unchaining Microservice Chains : Machine Learning Driven Optimization in Cloud Native Systems

   Författare :Michel Gokan Khan; Javid Taheri; Andreas Kassler; Stefan Schulte; Karlstads universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cloud Native Computing; Service Mesh; Performance Modelling; Performance Optimization; Performance Simulation; Machine Learning; Resource Allocation; Computer Science; Datavetenskap;

   Sammanfattning : As the cloud native landscape flourishes, microservices emerge as a central pillar for contemporary software development, enabling agility, resilience, and scalability in modern computing environments. While these modular services promise opportunities, particularly in the transformative ecosystem of 5G and beyond, they also introduce a myriad of complexities. LÄS MER

5. 4. Decision-Making in Autonomous Driving using Reinforcement Learning

   Författare :Carl-Johan E Hoel; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Monte Carlo tree search; epistemic uncertainty; tactical decision-making; reinforcement learning; neural networks; aleatoric uncertainty; autonomous driving;

   Sammanfattning : 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. LÄS MER