StarCraft
Emerging4papers using it
2024first seen
The 'StarCraft' dataset/benchmark is used to evaluate cooperative multi-agent reinforcement learning algorithms in complex environments that require decentralized decision-making and coordination among agents.
Papers using StarCraft (4)
- Nucleolus Credit Assignment for Effective Coalitions in Multi-agent
Reinforcement LearningDistributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value FactorizationMulti-party Agent Relation Sampling for Multi-party Ad Hoc TeamworkVariational Offline Multi-agent Skill Discovery