Asynchronous Advantage Actor-Critic Agent for Starcraft II

Understand

Deep reinforcement learning, and especially the Asynchronous Advantage Actor-Critic algorithm, has been successfully used to achieve super-human performance in a variety of video games.

• Starcraft II is a new challenge for the reinforcement learning community with the release of pysc2 learning environment proposed by Google Deepmind and Blizzard Entertainment.
• Despite being a target for several AI developers, few have achieved human level performance.
• In this project we explain the complexities of this environment and discuss the results from our experiments on the environment.