ConceptQ学习
Q Learning
A model-free reinforcement learning algorithm that maintains a Q-table storing the values of state-action pairs and iteratively updates them based on the Bellman equation to learn an optimal policy.
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Nov 2
In standard Q Learning, the target value depends on the current Q function, causing the target value to keep changing as the parameters update, creating the "moving target" problem.
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