learn what multi-agent reinforcement learning is and some of the challenges it faces and overcomes.
you will also learn what an agent is and how multi-agent systems can be both cooperative and adversarial. be walked through a grid world example to highlight some of the benefits of both decentralized and centralized reinforcement learning architectures.
