Essays about: "state space model"

Showing result 21 - 25 of 270 essays containing the words state space model.

1. 21. Grounding the Common Search for Inclusion : How Local Perceptions can be Included in International Peacebuilding Organizations

   University essay from Uppsala universitet/Institutionen för freds- och konfliktforskning

   Author : Sarah Trochemowitz; [2023]
   Keywords : ;

   Abstract : The term local participation has become a frequently used buzzword within peacebuilding; however, its contextual meaning and practical implications are not well established. Further, most of the literature has focused on international organizations from a state-building and good governance perspective, however, often this does not account for the work and responsibilities which are carried by large-scale peacebuilding INGOs. READ MORE

3. 22. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Lucas Alava Peña; [2023]
   Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

   Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE

4. 23. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space

   University essay from KTH/Skolan för teknikvetenskap (SCI); KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Andreu Matoses Gimenez; [2023]
   Keywords : Control theory; Multi-agent systems; Distributed systems; Formation control; Collision avoidance; Reinforcement learning; Teoria de control; Sistemes multiagent; Sistemes distribuïts; Control de formació; Prevenció de col·lisions; Reinforcement Learning; Reglerteknik; Multi-agent system; Distribuerade system; formationskontroll; Kollisionsundvikande; Reinforcement learning; Teoría de control; Sistemas multiagente; Sistemas distribuidos; Control de formación; Prevención de colisiones; Reinforcement Learning;

   Abstract : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. READ MORE

5. 24. Simulation of Quantum Cascade Lasers

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Matematisk fysik

   Author : Zakaria Mohamed; [2023]
   Keywords : Quantum Cascade Lasers; Simulations; Numerical Methods; Computational Models; Heterostructures; Physics and Astronomy;

   Abstract : This thesis aimed to contribute to the improvement of Quantum Cascade Lasers (QCLs) by focusing on the effective determination of quantum levels in these devices. The current method relies on an outdated Fortran code, which poses challenges when integrating into optimization schemes. READ MORE

6. 25. Intelligent autoscaling in Kubernetes : the impact of container performance indicators in model-free DRL methods

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tommaso Praturlon; [2023]
   Keywords : Cloud computing; container autoscaling; resource optimisation; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh; Cloud computing; container autoscaling; Optimering av resurser; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh;

   Abstract : A key challenge in the field of cloud computing is to automatically scale software containers in a way that accurately matches the demand for the services they run. To manage such components, container orchestrator tools such as Kubernetes are employed, and in the past few years, researchers have attempted to optimise its autoscaling mechanism with different approaches. READ MORE