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1	Peer-to-peer distribution of web content using WebRTC within a web browser Ersson, Kerstin, Siri, Persson January 2015 (has links) The aim of this project was to investigate if it is possible to host websites using the BitTorrent protocol, a protocol for distribution of data on the web. This was done using several Node.js modules, small clusters of code written in JavaScript, such as Browserify and a modified version of WebTorrent. In these modules, technologies like websockets and WebRTC are implemented. The project resulted in a working WebTorrent module, implemented on the website www.peerweb.io. However, the module still needs optimization concerning the time it takes to set up a WebRTC peer connection. With these modifications, we believe that hosting websites via peer-to-peer network will be the future of the web. Torrent WebTorrent peerweb.io BitTorrent p2p peer-to-peer JavaScript Precisit WebRTC website hosting websocket Node.js peer connection Other Computer and Information Science Annan data- och informationsvetenskap
2	Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving Wedén, Jonas January 2024 (has links) This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. First, a camera-based approach, which allowed the agent to gather information about the environment from a camera sensor. The image along with other driving features were fed to a convolutional neural network. Second, an approach focused purely on following the waypoints without the camera sensor. The camera sensor was substituted for an array containing the agent’s angle with respect to the upcoming waypoints along with other driving features. Even though the camera-based approach was the best during evaluation, no approach was successful in consistently following the waypoints of a straight route. To increase the performance of the camera-based approach more training episodes need to be provided. Furthermore, both approaches would greatly benefit from experimentation and optimization of the model’s neural network configuration and its hyperparameters. Machine Learning ML Reinforcement Learning RL Neural Network Deep Learning Autonomous Vehicle Vehicle CARLA Convolutional Neural Network CNN Precisit Q-learning Deep Q-learning DQN Computer Sciences Datavetenskap (datalogi)

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Peer-to-peer distribution of web content using WebRTC within a web browser

Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving