abstract:SARSA (State-Action-Reward-State-Action) is an algorithm for learning a Markov decision process policy, used in the reinforcement learning area of machine learning. It was introduced in a technical note Online Q-Learning using Connectionist Systems" by Rummery & Niranjan (1994) where the alternative name SARSA was only mentioned as a footnote.