Latent Space Reinforcement Learning
Often we have to handle high dimensional spaces if we want to learn motor skills for robots. In policy search tasks we have to find several parameters to learn a desired movement. This high dimensionality in parameters can be challenging for reinforcement algorithms, since more samples for finding a...
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| Format: | Others |
| Language: | German en |
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2014
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| Online Access: | https://tuprints.ulb.tu-darmstadt.de/3832/1/Latent_Space_Reinforcement_Learning_KSLuck.pdf Luck, Kevin Sebastian <http://tuprints.ulb.tu-darmstadt.de/view/person/Luck=3AKevin_Sebastian=3A=3A.html> (2014): Latent Space Reinforcement Learning.Darmstadt, Technische Universität, [Bachelor Thesis] |