Q-learning

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Added: 2015-12-28
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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 gi...
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.

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Mind Mapping Principles & Process
Mind Mapping Principles & Process
In this live training webinar you will learn core principles for effective mind mapping, whether cre…
Speaker: Liam Hughes
Date 15 October 2026
Mind Mapping for Complexity & Creativity
Mind Mapping for Complexity & Creativity
In this live training webinar you will learn how mind mapping can help you tackle complexity and sup…
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Date 22 October 2026