SOTAVerified

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 2650 of 175 papers

TitleStatusHype
Regularized Softmax Deep Multi-Agent Q-LearningCode1
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?Code1
Context-Aware Sparse Deep Coordination GraphsCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement LearningCode1
Group-Aware Coordination Graph for Multi-Agent Reinforcement LearningCode1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement LearningCode1
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement LearningCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement LearningCode1
Coordinated Proximal Policy OptimizationCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft IICode1
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value RegularizationCode1
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information PrinciplesCode1
FoX: Formation-aware exploration in multi-agent reinforcement learningCode1
Perceiver IO: A General Architecture for Structured Inputs & OutputsCode1
The StarCraft Multi-Agent ChallengeCode1
Show:102550
← PrevPage 2 of 7Next →

No leaderboard results yet.