TD(0) updates the value estimate using $V(s) \leftarrow V(s) + \alpha [r + \gamma V(s') - V(s)]$. The term $r + \gamma V(s')$ is called the TD target. What does 'bootstrapping' mean in this context?

Temporal Difference Learning

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TD(0) updates the value estimate using V (s) \leftarrow V (s) + α [r + γ V (s^{'}) - V (s)] . The term r + γ V (s^{'}) is called the TD target. What does 'bootstrapping' mean in this context?