Machine Learning & Training

What Is Actor-Critic?

Actor-critic methods are reinforcement learning algorithms that combine two components: an actor that chooses actions and a critic that estimates how good those actions are. The critic's feedback guides the actor's updates, often leading to more stable and efficient learning. This design blends policy-based and value-based approaches.