In this section, we will learn about SARSA and Q-Learning and how can they are coded with Python. Before we go further, let's find out what SARSA and Q-Learning are. SARSA is an algorithm that uses the state-action Q values to update. These concepts are derived from the computer science field of dynamic programming, while Q-learning is an off-policy algorithm that was first proposed by Christopher Watkins in 1989, and is a widely used RL algorithm.
Understanding SARSA and Q-Learning
Learning SARSA
SARSA is another on-policy algorithm that was very popular, particularly in the 1990s. It is an extension of TD-learning, which we saw previously, and is an on-policy algorithm. SARSA keeps an update of the state-action value...
