SARSA


en construction

Définition

XXXXXXXXX

Français

XXXXXXXXX

Anglais

State–action–reward–state–action

SARSA

State–action–reward–state–action (SARSA) is an algorithm for learning a Markov decision process policy, used in the reinforcement learning area of machine learning. It was proposed by Rummery and Niranjan in a technical note[1] with the name "Modified Connectionist Q-Learning" (MCQ-L). The alternative name SARSA, proposed by Rich Sutton, was only mentioned as a footnote.

Source : Wikipedia Machine Learning

Contributeurs: Imane Meziani, wiki