Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning

Understand

Recent advances in multi-agent reinforcement learning (MARL) allow agents to coordinate their behaviors in complex environments.

• However, common MARL algorithms still suffer from scalability and sparse reward issues.
• One promising approach to resolving them is automatic curriculum learning (ACL).
• ACL involves a student (curriculum learner) training on tasks of increasing difficulty controlled by a teacher (curriculum generator).