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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Mobile App for Precise Navigation of Agricultural Machinery
 Košák, Václav ; Bambušek, Daniel (referee) ; Herout, Adam (advisor)
The aim of this thesis is to develop a field navigation and GNSS system for precise localization. In the field, it is advisable to drive precisely along the lines to avoid repeated crossings or, on the contrary, free spaces. Driving accurately can save seeds, sprays, fuel, and more. Field navigation manages fields, machines, etc. The goal of the application is to navigate along generated guidance lines. In addition to the mobile application, a GNSS system has been developed to receive precise signals with RTK correction. Test results show that with an accurate receiver, the application can be practically used for everyday tasks.
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Deep Neural Networks for Reinforcement Learning
 Košák, Václav ; Dobeš, Petr (referee) ; Hradiš, Michal (advisor)
The paper describes a training environment for training a character how to walk. The environment is implemented in Al Gym by using the PyBullet physical model. Tasks from the environment are solved by using reinforcement learning by the ActorCritic algorithm. Each of the tasks is focused on the fundamental movements of the character. The paper show, which reward functions are used by the algorithm to solve given tasks.
Detailed record
Deep Neural Networks for Reinforcement Learning
 Košák, Václav ; Dobeš, Petr (referee) ; Hradiš, Michal (advisor)
The paper describes a training environment for training a character how to walk. The environment is implemented in Al Gym by using the PyBullet physical model. Tasks from the environment are solved by using reinforcement learning by the ActorCritic algorithm. Each of the tasks is focused on the fundamental movements of the character. The paper show, which reward functions are used by the algorithm to solve given tasks.
Detailed record

See also: similar author names
2 Košák, Vojtěch
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