National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
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.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.