Starcraft II

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

( Image credit: The StarCraft Multi-Agent Challenge )

Papers

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Showing 151–175 of 175 papers

Title	Date	Tasks	Status
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning	Feb 23, 2025	Action GenerationDecision Making	CodeCode Available
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game	Sep 19, 2018	AI AgentDecision Making	CodeCode Available
On the Limitations of Elo: Real-World Games, are Transitive, not Additive	Jun 21, 2022	StarcraftStarcraft II	CodeCode Available
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning	Dec 20, 2024	DiversityMulti-agent Reinforcement Learning	CodeCode Available
Multi-Agent Common Knowledge Reinforcement Learning	Oct 27, 2018	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Arena: a toolkit for Multi-Agent Reinforcement Learning	Jul 20, 2019	Multi-agent Reinforcement LearningOpenAI Gym	CodeCode Available
MSC: A Dataset for Macro-Management in StarCraft II	Oct 9, 2017	ManagementReal-Time Strategy Games	CodeCode Available
Variational Saccading: Efficient Inference for Large Resolution Images	Dec 8, 2018	General Classificationimage-classification	CodeCode Available
Relational Deep Reinforcement Learning	Jun 5, 2018	Deep Reinforcement Learningreinforcement-learning	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
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems	Jul 26, 2019	Deep Reinforcement LearningReinforcement Learning	CodeCode Available
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning	Mar 2, 2019	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
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning	Mar 28, 2024	Graph LearningMulti-agent Reinforcement Learning	CodeCode Available
The Natural Language of Actions	Feb 4, 2019	reinforcement-learningReinforcement Learning	CodeCode Available
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control	Sep 6, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning	Feb 21, 2022	Multi-agent Reinforcement LearningStarcraft	CodeCode Available
FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems	Jan 28, 2022	Decision Makingreinforcement-learning	CodeCode Available
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games	Aug 15, 2018	Deep Reinforcement LearningReal-Time Strategy Games	CodeCode Available
Self-Motivated Multi-Agent Exploration	Jan 5, 2023	Multi-agent Reinforcement LearningSMAC	CodeCode Available
EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement Learning	May 30, 2023	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available
Deep Coordination Graphs	Sep 27, 2019	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available
A Framework for Understanding and Visualizing Strategies of RL Agents	Aug 17, 2022	EthicsStarcraft	CodeCode Available
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution	Dec 9, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Explainable Reinforcement Learning Through a Causal Lens	May 27, 2019	counterfactualreinforcement-learning	CodeCode Available

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