Q-learning

Q-learning
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3,003
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MindManager Map added Mon, Dec 28, 2015
via web

Q-learning

Q-learning is a model-free reinforcement learning technique. Specifically, Q-learning can be used to find an optimal action-selection policy for any given (finite) Markov decision process (MDP). It works by learning an action-value function that ultimately gives the expected utility of taking a given action in a given state and following the optimal policy thereafter.
Created using: MindManager
Category: Library > Parent > Child
Copyright & licencing: Copyright ©Wojciech Korsak Some Rights Reserved. This work is licenced under a Creative Commons Link

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