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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Deep reinforcement learning and snake-like robot locomotion design
 Kočí, Jakub ; Dobrovský, Ladislav (referee) ; Matoušek, Radomil (advisor)
This master thesis is discussing application of reinforcement learning in deep learning tasks. In theoretical part, basics about artificial neural networks and reinforcement learning. The thesis describes theoretical model of reinforcement learning process - Markov processes. Some interesting techniques are shown on conventional reinforcement learning algorithms. Some of widely used deep reinforcement learning algorithms are described here as well. Practical part consist of implementing model of robot and it's environment and of the deep reinforcement learning system itself.
Detailed record
Posilované učení a agentní prostředí
 Brychta, Adam
This work deals with reinforcement learning and its application in an agent environment. The theoretical part includes an analysis of the theory covering areas of agent environments, neural networks and reinforcement learning. The practical part is focused on the design and implementation of a deep reinforcement learning agent with the possibility of using hierarchical reinforcement learning.
Detailed record
Deep reinforcement learning and snake-like robot locomotion design
 Kočí, Jakub ; Dobrovský, Ladislav (referee) ; Matoušek, Radomil (advisor)
This master thesis is discussing application of reinforcement learning in deep learning tasks. In theoretical part, basics about artificial neural networks and reinforcement learning. The thesis describes theoretical model of reinforcement learning process - Markov processes. Some interesting techniques are shown on conventional reinforcement learning algorithms. Some of widely used deep reinforcement learning algorithms are described here as well. Practical part consist of implementing model of robot and it's environment and of the deep reinforcement learning system itself.
Detailed record

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