Definition
A hybrid approach in Reinforcement Learning where the "Actor" suggests actions and the "Critic" evaluates those actions, guiding the system toward better performance.
In short: A hybrid approach in Reinforcement Learning where the "Actor" suggests actions and the "Critic" evaluates those actions, guiding the system toward better performance.