mlsanityData to 14 Oct 2026

An Introduction of mini-AlphaStar

arXiv 2104.06890 ↗First posted 14 Apr 2021cs.AIcited by 10

Not on the map. Why?

Abstract (arXiv)

StarCraft II (SC2) is a real-time strategy game in which players produce and control multiple units to fight against opponent's units. Due to its difficulties, such as huge state space, various action space, a long time horizon, and imperfect information, SC2 has been a research hotspot in reinforcement learning. Recently, an agent called AlphaStar (AS) has been proposed, which shows good performance, obtaining a high win rate of 99.8% against human players. We implemented a mini-scaled version of it called mini-AlphaStar (mAS) based on AS's paper and pseudocode. The difference between AS and mAS is that we substituted the hyper-parameters of AS with smaller ones for mini-scale training. Codes of mAS are all open-sourced (https://github.com/liuruoze/mini-AlphaStar) for future research.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 6 of its 10 references that are in the map. First posted on arXiv 14 Apr 2021.

Builds on

6 of 10 references.

References · 6

  1. 2017Attention Is All You Needcited by 60,361
  2. 2017StarCraft II: A New Challenge for Reinforcement Learningcited by 274
  3. 2018On Reinforcement Learning for Full-length Game of StarCraftcited by 16
  4. 2018TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Gamecited by 14
  5. 2018Modular Architecture for StarCraft II with Deep Reinforcement Learningcited by 10
  6. 2016Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Taskscited by 7

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 2; 2025: 3; 2026: 1.

10 papers.

  1. 2023Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approachcited by 79
  2. 2023Neurosymbolic Reinforcement Learning and Planning: A Surveycited by 24
  3. 2024SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language modelscited by 19
  4. 2022On Efficient Reinforcement Learning for Full-length Game of StarCraft IIcited by 14
  5. 2024SMAC-R1: The Emergence of Intelligence in Decision-Making Taskscited by 6
  6. 2025EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-makingcited by 3
  7. 2025Adaptive Command: Real-Time Policy Adjustment via Language Models in StarCraft IIcited by 3
  8. 2025TacticCraft: Natural Language-Driven Tactical Adaptation for StarCraft IIcited by 2
  9. 2021Rethinking of AlphaStarcited by 1
  10. 2026LLMs Are Not Good Strategists, Yet Memory-Enhanced Agency Boosts Reasoningcited by 0