TL;DR
This paper critically reexamines AlphaStar's achievements in StarCraft II, highlighting its limitations, ethical considerations, and proposing future research directions based on reproducing its code.
Contribution
It provides a critical analysis of AlphaStar's design, fairness, and overlooked details, offering new insights and future research pathways.
Findings
Identifies limitations and defects of AlphaStar
Questions the fairness of AI-human competitions
Proposes future research directions
Abstract
We present a different view for AlphaStar (AS), the program achieving Grand-Master level in the game StarCraft II. It is considered big progress for AI research. However, in this paper, we present problems with the AS, some of which are the defects of it, and some of which are important details that are neglected in its article. These problems arise two questions. One is that what can we get from the built of AS? The other is that does the battle between it with humans fair? After the discussion, we present the future research directions for these problems. Our study is based on a reproduction code of the AS, and the codes are available online.
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Taxonomy
TopicsArtificial Intelligence in Games · Digital Games and Media · Reinforcement Learning in Robotics
MethodsBitcoin Customer Service Number +1-833-534-1729 · Multi-Head Attention · Attention Is All You Need · *Communicated@Fast*How Do I Communicate to Expedia? · Linear Layer · Absolute Position Encodings · Position-Wise Feed-Forward Layer · Batch Normalization · Accumulating Eligibility Trace · Average Pooling