Tabular Q-Learning and Backpropagation: The Significance of “action_history” for Effective Q-Value Updates
What will you learn? Explore the importance of the “action_history” variable in Tabular Q-Learning for backpropagating q-values efficiently. Introduction to the Problem and Solution In the realm of Tabular Q-Learning, updating q-values based on rewards from actions taken requires a keen consideration of past actions’ influence. The presence of an “action_history” variable proves crucial in … Read more