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Starcraft

Starcraft I is a RTS game; the task is to train an agent to play the game.

( Image credit: Macro Action Selection with Deep Reinforcement Learning in StarCraft )

Papers

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Showing 71–80 of 311 papers

Title	Date	Tasks	Status	Hype	Score
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks	Dec 6, 2021	AllMulti-agent Reinforcement Learning	CodeCode Available	1	5
Off-Policy Multi-Agent Decomposed Policy Gradients	Jul 24, 2020	Multi-agent Reinforcement LearningStarcraft	CodeCode Available	1	5
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets	Mar 4, 2020	Starcraft	CodeCode Available	1	5
Energy-based Surprise Minimization for Multi-Agent Value Factorization	Sep 16, 2020	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1	5
Regularized Softmax Deep Multi-Agent Q-Learning	Dec 1, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1	5
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	Feb 16, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1	5
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTS	Apr 5, 2021	Continual LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
QGNN: Value Function Factorisation with Graph Neural Networks	May 25, 2022	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1	5
SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC	Dec 23, 2024	BenchmarkingMulti-agent Reinforcement Learning	CodeCode Available	1	5
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft	Aug 15, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5

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