Sökning: "Förstärkningslärning"

Hittade 5 uppsatser innehållade ordet Förstärkningslärning.

1. 1. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

   Kandidat-uppsats,

   Författare :Rahmat Rohoullah; Månsson Joakim; [2023]
   Nyckelord :BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

   Sammanfattning : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. LÄS MER

3. 2. Multi Agent Reinforcement Learning for Game Theory : Financial Graphs

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Bryan Yu; [2021]
   Nyckelord :Multi-Agent Reinforcement Learning; Reinforcement Learning; Game Theory; Financial Networks; Financial Graphs; Machine Learning; Financial Graphs; Computational Economics; Multi-Agent Reinforcement Learning; Reinforcement Learning; Game Theory; Financial Networks; Financial Graphs; Machine Learning; Financial Graphs; Computational Economics;

   Sammanfattning : We present the rich research potential at the union of multi agent reinforcement learning (MARL), game theory, and financial graphs. We demonstrate how multiple game theoretic scenarios arise in three node financial graphs with minor modifications. We highlight six scenarios used in this study. LÄS MER

4. 3. Unsupervised Reinforcement Learning and Downstream Task Finetuning for Simulated Robotics

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexander Nöu; [2021]
   Nyckelord :;

   Sammanfattning : Deep reinforcement learning algorithms typically require large amounts of data to solve a specific problem, and do not generalize well to other tasks. Recent methods in unsupervised reinforcement learning can learn a range of different behaviors within an environment without the use of task-specific data. LÄS MER

5. 4. Reinforcement Learning of Repetitive Tasks for Autonomous Heavy-Duty Vehicles

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Simon Lindesvik Warma; [2020]
   Nyckelord :reinforcement learning; automatic control; motion control;

   Sammanfattning : Many industrial applications of heavy-duty autonomous vehicles include repetitive manoeuvres, such as, vehicle parking, hub-to-hub transportation etc. This thesis explores the possibility to use the information from previous executions, via reinforcement learning, of specific manoeuvres to improve the performance for future iterations. LÄS MER

7. 5. Reinforcement learning AI to Hive

   Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Rikard Blixt; Anders Ye; [2013]
   Nyckelord :;

   Sammanfattning : This report is about the game Hive, which is a very unique board game. Firstly we cover what Hive is, and then later details on our implementations of it, which issues we ran into during the implementation and how we solved those issues. Also we attempted to make an AI and by using reinforcement learning teaching it to become good at playing Hive. LÄS MER