AI play Pacman game

Asynchronous Advantage Actor-Critic (A3C)

Asynchronous Advantage Actor-Critic (A3C) is a reinforcement learning algorithm that uses multiple agents to interact with the environment in parallel, improving training efficiency and stability.

Key Features:

• Asynchronous Learning: Multiple agents explore the environment simultaneously, reducing correlation.
• Actor-Critic Method: The actor learns the policy, while the critic estimates the value function.

Applications:

• Complex game environments (e.g., Doom, StarCraft)
• Robotics
• Real-time strategy games