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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

The SARSA algorithm

The State–Action–Reward–State–Action (SARSA) algorithm is an on-policy learning problem. Just like Q-learning, SARSA is also a temporal difference learning problem, that is, it looks ahead at the next step in the episode to estimate future rewards. The major difference between SARSA and Q-learning is that the action having the maximum Q-value is not used to update the Q-value of the current state-action pair. Instead, the Q-value of the action as the result of the current policy, or owing to the exploration step like -greedy is chosen to update the Q-value of the current state-action pair. The name SARSA comes from the fact ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content