Department of Cybernetics
| List |
| Bachelor thesis: | Control of Road Vehicles Using Machine Learning Methods ( PDF ) |
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| Author: | Franěk Aleš |
| Supervisor: | RNDr. Lukáš Chrpa Ph.D. |
| Keywords: | Agents,Knowledge-Based and Software Systems |
| Abstract: | This thesis is a part of the Highway2 project. It aims to create cars with artificial intelligence which spontaneously develop their skill of driving. For this purpose is used method called Q-learning which is a sort of reinforcement learning. It uses a multi-agent system to simulate the highway and the autonomous vehicles. After introduction about driverless cars and multi-agent sys-tems is described actual structure of the simulation and the machine learning algorithm. At the end of the thesis are described methods which were used by other members of the Highway2 project and all the algorithms are compared in several tests.
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| Submited: | May 2011 |
| More info: |
Department of Cybernetics, © 1996-2007

This thesis is a part of the Highway2 project. It aims to create cars with artificial intelligence which spontaneously develop their skill of driving. For this purpose is used method called Q-learning which is a sort of reinforcement learning. It uses a multi-agent system to simulate the highway and the autonomous vehicles. After introduction about driverless cars and multi-agent sys-tems is described actual structure of the simulation and the machine learning algorithm. At the end of the thesis are described methods which were used by other members of the Highway2 project and all the algorithms are compared in several tests.