Write short note on Temporal Difference Learning.

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written 16 months ago by

Solution:

Temporal-Difference (TD) Learning:

a combination of DP and MC methods
updates estimates based on other learned estimates (i.e., bootstraps), (as DP methods) does not require a model; learns from raw experience as MC methods.
constitutes a basis for reinforcement learning.
Convergence to $\mathrm{V}^\pi$ is guaranteed (asymptotically as in MC …

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