Q-Learning

Fact

A reinforcement learning method for learning action values from rewards.

In Plain Words

Q-Learning is like learning a claw machine at the arcade. One button grabs candy, and another just bonks the glass.

It lets an agent learn good moves by trial and error. You meet it in games, robot control, and route planning.

Related Concepts

• Reinforcement Learning
• Temporal-Difference Learning
• Policy Gradient
• Actor-Critic

RL
Q-Learning is one of the classic starter methods in RL.

TD Learning
Q-Learning uses TD Learning to keep fixing its value guesses after feedback.

Policy Gradient
Q-Learning learns action values first. Policy Gradient learns the policy directly.

Actor-Critic
Actor-Critic uses the same value idea inside a bigger setup.