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 276–300 of 311 papers

Title	Date	Tasks	Status
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning	Jun 22, 2022	counterfactualMulti-agent Reinforcement Learning	CodeCode Available
Macro action selection with deep reinforcement learning in StarCraft	Dec 2, 2018	Deep Reinforcement LearningReal-Time Strategy Games	CodeCode Available
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning	Feb 23, 2025	Action GenerationDecision Making	CodeCode Available
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning	Jun 23, 2025	Multi-agent Reinforcement LearningStarcraft	CodeCode Available
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning	Oct 19, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning	Mar 5, 2024	Federated LearningMulti-agent Reinforcement Learning	CodeCode Available
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning	Apr 3, 2018	Real-Time Strategy Gamesreinforcement-learning	CodeCode Available
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning	Feb 15, 2019	Deep Reinforcement LearningImitation Learning	CodeCode Available
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization	Feb 21, 2023	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available
STARDATA: A StarCraft AI Research Dataset	Aug 7, 2017	DiversityImitation Learning	CodeCode Available
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks	Dec 23, 2018	Starcraft	CodeCode Available
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient	Oct 10, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients	Jan 4, 2022	StarcraftStarcraft II	CodeCode Available
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning	Mar 28, 2024	Graph LearningMulti-agent Reinforcement Learning	CodeCode Available
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning	Dec 27, 2022	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning	Dec 22, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Growing Action Spaces	Jun 28, 2019	reinforcement-learningReinforcement Learning	CodeCode Available
RedDwarfData: a simplified dataset of StarCraft matches	Dec 29, 2017	Starcraft	CodeCode Available
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game	Sep 19, 2018	AI AgentDecision Making	CodeCode Available
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning	Mar 2, 2023	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available
Arena: a toolkit for Multi-Agent Reinforcement Learning	Jul 20, 2019	Multi-agent Reinforcement LearningOpenAI Gym	CodeCode Available
Deep Coordination Graphs	Sep 27, 2019	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available
A Dataset for StarCraft AI \& an Example of Armies Clustering	Nov 19, 2012	ClusteringReal-Time Strategy Games	CodeCode Available
Relational Deep Reinforcement Learning	Jun 5, 2018	Deep Reinforcement Learningreinforcement-learning	CodeCode Available
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics	Jan 21, 2025	Distributional Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available

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