May 2018
Intermediate to advanced
576 pages
14h 42m
English
Content preview from Mastering Machine Learning Algorithms
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SARSA algorithm
SARSA (whose name is derived from the sequence state-action-reward-state-action) is a natural extension of TD(0) to the estimation of the Q function. Its standard formulation (which is sometimes called one-step SARSA, or SARSA(0), for the same reasons explained in the previous chapter) is based on a single next reward, rt+1, which is obtained by executing the action at in the state st. The temporal difference computation is based on the following update rule:
The equation is equivalent to TD(0), and if the policy is chosen to be GLIE, it has been proven (in Convergence Results for Single-Step On-Policy Reinforcement-Learning ...
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