A Survey and Critique of Multiagent Deep Reinforcement Learning

Understand

Deep reinforcement learning (RL) has achieved outstanding results in recent years.

• This has led to a dramatic increase in the number of applications and methods.
• Recent works have explored learning beyond single-agent scenarios and have considered multiagent learning (MAL) scenarios.
• Initial results report successes in complex multiagent domains, although there are several challenges to be addressed.