Action-Value
Action-Value is a concept in reinforcement learning that represents the expected return or reward of taking a specific action in a given state.
Actor
An actor is a person who portrays characters in performances across theater, film, television, or other media.
Actuator
An actuator is a device that converts electrical, hydraulic, or pneumatic energy into physical motion to control or move mechanisms.
Advantage Function
Advantage Function is a concept in reinforcement learning that measures how much better an action is compared to the average action at a given state.
Afterstate
Afterstate is the condition of a system or environment immediately following an action, used in decision-making processes to evaluate outcomes.
Apprenticeship Learning
Apprenticeship learning is a type of machine learning where an agent learns tasks by observing and imitating expert behavior.
Asynchronous DP
Asynchronous DP is a dynamic programming approach where computations proceed independently without waiting for all previous steps to complete, enabling parallel processing and faster problem-solving.