Parking a car using Reinforcement Learning and Unity

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dc.contributor.advisorBogacsovics, Gergő
dc.contributor.authorAmmar, Akram
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2023-04-18T06:57:50Z
dc.date.available2023-04-18T06:57:50Z
dc.date.created2023-04-13
dc.description.abstractThis report documents the steps on how to teach a Reinforcement learning agent to park a car automatically. This project was made within the Unity software. Some parts of the Unity environemnt have been created with the computer graphics software Blender. The project started by designing the environment, creating the agent, training it and finally interpreting the results. The report demonstrates how the learning process for this agent is, the obstacles encountered and to overcome them. The report also discusses briefly the similarities and differences between Reinforcement Learning and Machine Learning.
dc.description.correctorN.I.
dc.description.courseComputer science
dc.description.degreeMSc/MA
dc.format.extent38
dc.identifier.urihttps://hdl.handle.net/2437/349869
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectReinforcement learning
dc.subjectUnity
dc.subjectMachine Learning
dc.subjectBlender
dc.subject.dspaceDEENK Témalista::Informatika
dc.titleParking a car using Reinforcement Learning and Unity
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