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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

Showing 125 of 175 papers

TitleStatusHype
AlphaStar Unplugged: Large-Scale Offline Reinforcement LearningCode2
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement LearningCode2
Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First TimeCode2
JaxMARL: Multi-Agent RL Environments and Algorithms in JAXCode2
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization ApproachCode2
On Efficient Reinforcement Learning for Full-length Game of StarCraft IICode2
LLM-PySC2: Starcraft II learning environment for Large Language ModelsCode2
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement LearningCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
Group-Aware Coordination Graph for Multi-Agent Reinforcement LearningCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy OptimizationCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information PrinciplesCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
Coordinated Proximal Policy OptimizationCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
An Introduction of mini-AlphaStarCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft IICode1
Context-Aware Sparse Deep Coordination GraphsCode1
FoX: Formation-aware exploration in multi-agent reinforcement learningCode1
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement LearningCode1
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