Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Understand

Multi-agent reinforcement learning (MARL) requires coordination to efficiently solve certain tasks.

• Fully centralized control is often infeasible in such domains due to the size of joint action spaces.
• Coordination graph based formalization allows reasoning about the joint action based on the structure of interactions.
• However, they often require domain expertise in their design.