Attention Mechanisms
Machine Learning
A parallel implementation of the actor-critic architecture that runs multiple learning agents asynchronously.
Detailed Explanation
Asynchronous Advantage Actor-Critic (A3C) is a reinforcement learning algorithm that trains multiple agents simultaneously without waiting for each other, improving efficiency and stability. It combines an actor, which determines actions, and a critic, which evaluates them, to optimize policy and value functions. The asynchronous approach helps in faster convergence and better exploration of complex environments.
Use Cases
- •Enhances game AI by training multiple agents simultaneously for faster, stable policy learning in complex simulated environments.
Related Terms
Other terms in the Machine Learning category