Sökning: "Förstärkningsinlärning"
Visar resultat 1 - 5 av 13 avhandlingar innehållade ordet Förstärkningsinlärning.
1. A study of wireless communications with reinforcement learning
Sammanfattning : The explosive proliferation of mobile users and wireless data traffic in recent years pose imminent challenges upon wireless system design. The trendfor wireless communications becoming more complicated, decentralized andintelligent is inevitable. LÄS MER
2. Location-aided Beam Alignment and Handover in Millimeter-wave Networks
Sammanfattning : Ever-increasing data rate demands in mobile networks and the spectrum scarcity at the microwave bands have resulted in the exploration of millimeter-wave (mmWave) frequencies for the next generation of wireless networks. While mmWave frequencies offer large bandwidth, communication at these frequencies is not straightforward due to the challenging propagation characteristics. LÄS MER
3. Reinforcement Learning for Active Visual Perception
Sammanfattning : Visual perception refers to automatically recognizing, detecting, or otherwise sensing the content of an image, video or scene. The most common contemporary approach to tackle a visual perception task is by training a deep neural network on a pre-existing dataset which provides examples of task success and failure, respectively. LÄS MER
4. On learning in mice and machines : continuous population codes in natural and artificial neural networks
Sammanfattning : Neural networks, whether artificial in a computer or natural in the brain, could represent information either using discrete symbols or continuous vector spaces. In this thesis, I explore how neural networks can represent continuous vector spaces, using both simulated neural networks and analysis of real neural population data recorded from mice. LÄS MER
5. Efficient and Trustworthy Artificial Intelligence for Critical Robotic Systems
Sammanfattning : Critical robotic systems are systems whose functioning is critical to both ensuring the accomplishment of a given mission and preventing the endangerment of life and the surrounding environment. These critical aspects can be formally captured by convergence, in the sense that the system's state goes to a desired region of the statespace, and safety, in the sense that the system's state avoids unsafe regions of the statespace. LÄS MER