Essays about: "Learning by doing"

Showing result 11 - 15 of 209 essays containing the words Learning by doing.

1. 11. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies

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

   Author : Marinaro Davide; [2023]
   Keywords : Reinforcement Learning; Single-to-Multi-Agent; Learning Stability; Exploration-Exploitation trade-off; Race Strategy Optimization; Förstärkningsinlärning; Från en till flera agenter; Stabilitet vid inlärning; Utforskning-exploatering; Optimering av tävlingsstrategier;

   Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE

3. 12. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs

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

   Author : Jakub Reha; [2023]
   Keywords : Graph neural networks; Temporal graphs; Benchmark datasets; Anomaly detection; Heterogeneous graphs; Provenance graphs; Grafiska neurala nätverk; temporala grafer; benchmark-datauppsättningar; anomalidetektering; heterogena grafer; härkomstgrafer;

   Abstract : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. READ MORE

4. 13. Adversarial Machine (Deep) Learning-basedRobustification in 5G Networks

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Mirjalol Aminov; [2023]
   Keywords : 5G; Network Slicing; Adversarial Machine Learning; Machine Learning; Deep Learning;

   Abstract :  A significant development in wireless communication and artificial intelligence has been made possible by the combination of 5G networks with deep learning methods. This paper explores the complex interactions between these areas, concentrating on the dangers that adversarial attacks represent in the context of 5G network slicing. READ MORE

5. 14. Novel Method of ASIC interface IP development using HLS

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Anestis Athanasiadis; Chandranshu Mishra; [2023]
   Keywords : High Level Synthesis; HLS; Untimed C ; Control logic; I3C; clock-accurate design; IP development; Technology and Engineering;

   Abstract : High-Level Synthesis(HLS) is a design methodology that enables designers to implement hardware from high-level coding languages, such as C, C++, or System C. It provides designers with the ability to convey their design at a higher level of abstraction, which allows more emphasis on an algorithm and functional aspects of design instead on low-level hardware details. READ MORE

6. 15. Self-supervised representation learning from electrocardiogram data for medical applications

   University essay from Lunds universitet/Matematik LTH

   Author : Matilda Andersson; [2023]
   Keywords : Self-supervised learning; Deep learning; Cardiovascular disease; Electrocardiogram; ECG; SimCLR; BYOL; VICReg; Mathematics and Statistics;

   Abstract : Cardiovascular diseases are the leading cause of death worldwide, increasing yearly. However, many abnormalities in heart cycles can be discovered and treated years before the onset of diseases. But in most societies, regular health checkups are a concept reserved for cars, not humans. READ MORE