StarCraft Multi-Agent Challenge
Emerging18papers using it
2024first seen
Papers using StarCraft Multi-Agent Challenge (18)
- AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisionsMARL-GPT: Foundation Model for Multi-Agent Reinforcement LearningMulti-Agent Deep Reinforcement Learning Under Constrained CommunicationsHCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement LearningTransformer World Model for Sample Efficient Multi-Agent Reinforcement LearningStarcraft+: Benchmarking Multi-agent Algorithms In Adversary ParadigmLow-rank Agent-specific Adaptation (lorasa) For Multi-agent Policy LearningReducing Variance Caused By Communication In Decentralized Multi-agent Deep Reinforcement LearningAdaptive Episode Length Adjustment for Multi-agent Reinforcement LearningSrSv: Integrating Sequential Rollouts with Sequential Value Estimation
for Multi-agent Reinforcement LearningReducing Variance Caused by Communication in Decentralized Multi-agent
Deep Reinforcement LearningGrounded Answers for Multi-agent Decision-making Problem through
Generative World ModelKaleidoscope: Learnable Masks for Heterogeneous Multi-agent
Reinforcement LearningHybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement LearningLow-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy
LearningPMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement
LearningDynamic Sight Range Selection in Multi-Agent Reinforcement LearningStarCraft+: Benchmarking Multi-agent Algorithms in Adversary Paradigm