Starcraft II
81 papers with code • 3 benchmarks • 4 datasets
Starcraft II is a RTS game; the task is to train an agent to play the game.
( Image credit: The StarCraft Multi-Agent Challenge )
Benchmarks
These leaderboards are used to track progress in Starcraft II
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Libraries
Use these libraries to find Starcraft II models and implementations
StarCraft II Learning Environment
SMAC-Exp
Lani
MSC
Most implemented papers
SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
Based on initial investigation of available StarCraft II datasets, we observed that our dataset is the largest publicly available source of StarCraft II esports data upon its publication.
On Efficient Reinforcement Learning for Full-length Game of StarCraft II
In this work, we investigate a set of RL techniques for the full-length game of StarCraft II.
JaxMARL: Multi-Agent RL Environments in JAX
flairox/jaxmarl
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This not only enables GPU acceleration, but also provides a more flexible MARL environment, unlocking the potential for self-play, meta-learning, and other future applications in MARL.
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games
cair/DeepRTS
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Reinforcement learning (RL) is an area of research that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games.
Multi-Agent Common Knowledge Reinforcement Learning
schroederdewitt/mackrl
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NeurIPS 2019
In this paper, we show that common knowledge between agents allows for complex decentralised coordination.
Variational Saccading: Efficient Inference for Large Resolution Images
jramapuram/variational_saccading
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Image classification with deep neural networks is typically restricted to images of small dimensionality such as 224 x 244 in Resnet models [24].
The Natural Language of Actions
We introduce Act2Vec, a general framework for learning context-based action representation for Reinforcement Learning.
AlphaStar: An Evolutionary Computation Perspective
In January 2019, DeepMind revealed AlphaStar to the world-the first artificial intelligence (AI) system to beat a professional player at the game of StarCraft II-representing a milestone in the progress of AI.
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning
liuruoze/thought-sc2-model-experiment
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Injecting human knowledge is an effective way to accelerate reinforcement learning (RL).
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ASN characterizes different actions' influence on other agents using neural networks based on the action semantics between them.
