Definition
A model-free, off-policy reinforcement learning algorithm that learns an optimal action-selection policy by iteratively estimating the maximum expected future reward for a given state-action pair.
In short: A model-free, off-policy reinforcement learning algorithm that learns an optimal action-selection policy by iteratively estimating the maximum expected future reward for a given state-action pair.