Essays about: "conventional reinforcement"

Showing result 1 - 5 of 42 essays containing the words conventional reinforcement.

  1. 1. 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

  3. 2. Battery Storage as Grid Reinforcement for Peak Power Demands

    University essay from Linköpings universitet/Energisystem

    Author : Jesper Hilleberg; [2023]
    Keywords : Battery Storage; Battery Energy Storage System; Grid Reinforcement; Flexibility; Lithium-ion battery; li-ion battery; Large Scale Grid Storage; BESS; Energy Storage; Peak Power Demand; Batterilagring; Batterilagringsystem; Nätförstärkning; Nätförstärkningsåtgärd; toppeffektlaster; Flexibilitet; Flexibilitetslösning; litiumjonbatteri; li-ion batteri; BESS; energilagring;

    Abstract : An increased amount of intermittent electricity production, more electric vehicles (EV), and an overall electrification of society may all cause a higher variability between the balance of supply and demand on the electric grid. Battery storage has been identified as a solution to the emerging problem asit can be charged during hours of low power demand and then discharged to help meet the power demand during peak loads. READ MORE

  4. 3. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks

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

    Author : Yuhang Li; [2023]
    Keywords : DNN; Soft errors; Redundancy; DRL; DQN; Transfer learning; Training time; DNN; Mjuka fel; Redundans; DRL; DQN; Överföringsinlärning; Utbildningstid;

    Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE

  5. 4. Improving Co-existence of URLLC and Distributed AI using RL

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

    Author : Wei Shi; [2023]
    Keywords : 5G; URLLC; RL; HRL; Optimization; 5G; URLLC; RL; HRL; Optimering;

    Abstract : In 5G, Ultra-reliable and low-Latency communications (URLLC) service is envisioned to enable use cases with strict reliability and latency requirements on wireless communication. For the upcoming 6G network, machine learning (ML) also stands an important role that introduces intelligence and further enhances the system performance. READ MORE

  6. 5. Study of permanent formwork made of high-performance concrete as protection of concrete with recycled aggregate

    University essay from KTH/Betongbyggnad

    Author : Eliška Kafková; [2022]
    Keywords : Fiber-reinforced concrete; textile-reinforced concrete; high-performance concrete; concrete with recycled aggregate; fiber reinforcement; textile reinforcement; carbon footprint;

    Abstract : The production of concrete remains one of the highest CO2 producers. It consumes alarge number of primary sources of raw materials. One way to reduce emissions and rawmaterials consumption is by applying more recycled aggregates. READ MORE