Explain the self-play approach used in AlphaStar's reinforcement learning phase. How did playing millions of games against its own versions help AlphaStar refine its strategies?
Tuesday, 11 June 2024
by EITCA Academy
The self-play approach utilized in AlphaStar's reinforcement learning phase is a sophisticated and pivotal technique that significantly contributed to the AI's mastery of StarCraft II. Self-play, in the context of AlphaStar, involves the agent playing games against different versions of itself, enabling it to explore a vast array of strategies and counter-strategies in a highly

