“‘AlphaStar’ Tag”,2019-12-16 (Transformer, imitation learning, model-free RL, MARL, RL scaling; backlinks)⁠:

Bibliography for tag reinforcement-learning/model-free/alphastar, most recent first: 19 annotations & 7 links (parent).

• See Also
• Links
  • “AI Alignment via Slow Substrates: Early Empirical Results With StarCraft II”, Leong2024
  • “Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach”, Ma et al 2023
  • “JaxMARL: Multi-Agent RL Environments in JAX”, Rutherford et al 2023
  • “AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning”, Mathieu et al 2023
  • “SCC: an Efficient Deep Reinforcement Learning Agent Mastering the Game of StarCraft II”, Wang et al 2020
  • “TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game”, Han et al 2020
  • “TLeague: A Framework for Competitive Self-Play Based Distributed Multi-Agent Reinforcement Learning”, Sun et al 2020
  • “Real World Games Look Like Spinning Tops”, Czarnecki et al 2020
  • “Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning”, Vinyals et al 2019
  • “Human-Level Performance in 3D Multiplayer Games With Population-Based Reinforcement Learning”, Jaderberg et al 2019
  • “Re-Evaluating Evaluation”, Balduzzi et al 2018
  • “Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks”, Usunier et al 2016
  • “Pointer Networks”, Vinyals et al 2015
  • “AlphaStar: Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning”
  • “AlphaStar: Mastering the Real-Time Strategy Game StarCraft II”
  • “TLeague Project Page”
  • “DeepMind Research on Ladder—StarCraft II”
  • “The Unexpected Difficulty of Comparing AlphaStar to Humans”
  • “AlphaStar vs AlphaStar (PvP) & Dev Answered Questions!”
  • Wikipedia
• Miscellaneous
• Bibliography

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