Essays about: "Deep Q- networks"

Showing result 1 - 5 of 35 essays containing the words Deep Q- networks.

  1. 1. Reinforcement Learning for Multi-Agent Strategy Synthesis Using Higher-Order Knowledge

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

    Author : Gustav Forsell; Shamoun Gergi; [2023]
    Keywords : Higher Order Knowledge; Imperfect Information; Reinforcement Learning; Deep Q- networks; Knowledge Representation; Pursuit Evasion Games;

    Abstract : Imagine for a moment we are living in the distant future where autonomous robots are patrollingthe streets as police officers. Two such robots are chasing a robber through the city streets. Fearingthe thief might listen in to any potential transmission, both robots remain radio silent and are thuslimited to a strictly visual pursuit. READ MORE

  3. 2. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Weilin Zhang; [2023]
    Keywords : Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

    Abstract : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. READ MORE

  4. 3. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks

    University essay from Lunds universitet/Fysiska institutionen

    Author : Joyce Cobussen; [2023]
    Keywords : Physics and Astronomy;

    Abstract : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. READ MORE

  5. 4. Stabilizing Side Effects of Experience Replay With Different Network Sizes for Deep Q-Network

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

    Author : Simon Granström; [2023]
    Keywords : ;

    Abstract : This report investigates the effects of two different types of batch selection used for traininga Deep Reinforcement Learning agent in games. More specifically, the impact of thedifferent methods were tested for different sizes of Deep Neural Networks while using theDeep Q-Network (DQN) algorithm. READ MORE

  6. 5. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle

    University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Author : Yo Fujimoto; [2023]
    Keywords : Artificial neural network; machine learning; random forest; deep learning; electric vehicle; decision tree; k-nearest neighbors; permanent magnet synchronous machine;

    Abstract : Permanent magnet synchronous machines have various advantages and have showed the most superiorperformance for Electric Vehicles. However, modeling them is difficult because of their nonlinearity. READ MORE