StarCraftII Multi-Agent Challenge
Emerging4papers using it
2026first seen
The 'StarCraftII Multi-Agent Challenge' is a benchmark that contains scenarios for evaluating multi-agent reinforcement learning algorithms, focusing on the performance of agents in complex, dynamic environments.
Papers using StarCraftII Multi-Agent Challenge (4)
- SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language ModelsCCKS: Consensus-based Communication and Knowledge SharingAutonomous Partner Selection for Cooperative Multi-Agent Reinforcement LearningMulti-Agent Deep Reinforcement Learning Under Constrained Communications