Q-Function
Q-Function is a mathematical function used in reinforcement learning to estimate the expected rewards of taking a certain action in a given state.
106 plain-language definitions from the TiorAI glossary, filed under Reinforcement Learning. Every entry opens with a one-sentence definition, then explains where the term is used.
Q-Function is a mathematical function used in reinforcement learning to estimate the expected rewards of taking a certain action in a given state.
Q-Learning is a model-free reinforcement learning algorithm that helps agents learn the best actions to take in specific situations to maximize cumulative rewards.
Q-Value is a statistical measure used to estimate the minimum false discovery rate at which a particular test result can be considered significant.