StarCraft Multi-Agent Challenge (SMACv-2)
Emerging4papers using it
2024first seen
The StarCraft Multi-Agent Challenge (SMACv2) is a benchmark that evaluates cooperative multi-agent systems in complex environments, focusing on the performance of multi-agent reinforcement learning algorithms.
Papers using StarCraft Multi-Agent Challenge (SMACv-2) (4)
- Cooperative Multi-Agent Planning with Adaptive Skill SynthesisSMAC-R1: The Emergence of Intelligence in Decision-Making TasksOffline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential ExplorationSMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC