New MARL method combines agent knowledge to reduce complexity.
problem Curse of dimensionality in multiagent reinforcement learning.
method Decomposes multiagent problem into multi-task problem, uses distillation and value-matching.
result Outperforms policy distillation alone and improves learning in both discrete and continuous action spaces.