Sökning: "Deep Q- networks"
Visar resultat 1 - 5 av 38 uppsatser innehållade orden Deep Q- networks.
1. Reinforcement Learning for Multi-Agent Strategy Synthesis Using Higher-Order Knowledge
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
2. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : 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. LÄS MER
3. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks
Master-uppsats, Lunds universitet/Fysiska institutionenSammanfattning : 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. LÄS MER
4. Stabilizing Side Effects of Experience Replay With Different Network Sizes for Deep Q-Network
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
5. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : 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. LÄS MER