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Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Controlling Autonomous Systems Based on Partially Observable Markov Decision Processes
 Gyselová, Julie ; Lengál, Ondřej (oponent) ; Češka, Milan (vedoucí práce)
Partially observable Markov decision processes offer a way to model systems with state uncertainty. An agent has limited information (observation) about its current location in the system. A finite-state controller that translates this information to actions that the agent can perform helps the agent interact with the model and achieve its goals. PAYNT is a tool that constructs a design space that contains all possible finite-state controllers of a given size for a POMDP and then tries to find the best FSC among those. In this thesis, I introduce a way to restrict the design space to encode only a subset of the controllers so that PAYNT can find the best controller in a much shorter time. If the used restriction is suitable, the controller quality is not affected. I also implement a method that can make the synthesis method implemented in PAYNT continuously find FSCs of increasing sizes and improving qualities by gradually applying restrictions from a predefined set.
Úplný záznam
Controlling Autonomous Systems Based on Partially Observable Markov Decision Processes
 Gyselová, Julie ; Lengál, Ondřej (oponent) ; Češka, Milan (vedoucí práce)
Partially observable Markov decision processes offer a way to model systems with state uncertainty. An agent has limited information (observation) about its current location in the system. A finite-state controller that translates this information to actions that the agent can perform helps the agent interact with the model and achieve its goals. PAYNT is a tool that constructs a design space that contains all possible finite-state controllers of a given size for a POMDP and then tries to find the best FSC among those. In this thesis, I introduce a way to restrict the design space to encode only a subset of the controllers so that PAYNT can find the best controller in a much shorter time. If the used restriction is suitable, the controller quality is not affected. I also implement a method that can make the synthesis method implemented in PAYNT continuously find FSCs of increasing sizes and improving qualities by gradually applying restrictions from a predefined set.
Úplný záznam

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