Papers › Rethinking of AlphaStar

Rethinking of AlphaStar

7 Aug 2021arXiv:2108.03452archive 2025-07-28

Ruo-Ze Liu

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.

PaperPDFCode

Code

liuruoze/mini-AlphaStar mentioned on GitHubpytorchApache-2.0 report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

StarcraftStarcraft II

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Methods

1x1 ConvolutionAbsolute Position EncodingsAccumulating Eligibility TraceAdamAlphaStarAttentionAverage PoolingBPEBatch NormalizationBottleneck Residual BlockConvolutionDense ConnectionsDropoutFeedforward NetworkGated Linear UnitGlobal Average PoolingKaiming InitializationLSTMLabel SmoothingLayer NormalizationLinear LayerMax PoolingMulti-Head AttentionPointer NetworkPosition-Wise Feed-Forward LayerReLUResidual BlockResidual ConnectionScatter ConnectionSigmoid ActivationSoftmaxTD LambdaTanh ActivationTransformerV-trace

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections