A2C, or Advantage Actor-Critic, is a prominent algorithm in Reinforcement Learning. It refines the Actor-Critic approach by using an "advantage" function to more effectively guide an agent's learning toward optimal policies.
A2C, or Advantage Actor-Critic, is a prominent algorithm in Reinforcement Learning. It refines the Actor-Critic approach by using an "advantage" function to more effectively guide an agent's learning toward optimal policies.