Tabular Q-learning

Also known as: Tabular Q learning

Caesar AI Atlas Definition

Tabular Q-learning is a reinforcement learning method that stores Q-values in a table for each state-action pair. It is suitable for environments with discrete and manageable state and action spaces.

Other Definitions

Tabular Q-learning Source

In reinforcement learning, implementing Q-learning by using a table to store the Q-functions for every combination of state and action.

Related Terms

Reinforcement Learning Q-learning Action Reward Policy State–action–reward–state–action