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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 31–40 of 311 papers

Title	Date	Tasks	Status	Hype
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
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles	Apr 3, 2023	Multi-agent Reinforcement LearningStarcraft	CodeCode Available	1
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning	Jun 19, 2020	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning	Mar 16, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Counterfactual Multi-Agent Policy Gradients	May 24, 2017	Autonomous Vehiclescounterfactual	CodeCode Available	1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning	Apr 14, 2021	counterfactualDeep Reinforcement Learning	CodeCode Available	1
FACMAC: Factored Multi-Agent Centralised Policy Gradients	Mar 14, 2020	MuJoCoMulti-agent Reinforcement Learning	CodeCode Available	1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTS	Apr 5, 2021	Continual LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Context-Aware Sparse Deep Coordination Graphs	Jun 5, 2021	graph constructionGraph Learning	CodeCode Available	1
A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon	Jun 12, 2025	Large Language ModelStarcraft	CodeCode Available	1

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