Reinforcement Learning with Algorithms from Probabilistic Structure Estimation

Reinforcement learning (RL) algorithms aim to learn optimal decisions in unknown environments through experience of taking actions and observing the rewards gained. In some cases, the environment is not influenced by the actions of the RL agent, in which case the problem can be modeled as a contextu...

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Hauptverfasser:	Epperlein, Jonathan P, Overko, Roman, Zhuk, Sergiy, King, Christopher, Bouneffouf, Djallel, Cullen, Andrew, Shorten, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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