What is MAPoRL?

Multi agent post-co training reinforcement learning (MAPoRL) is a training methodology that enhances the collaborative capabilities of multiple AI agents (paper). By co-training agents using reinforcement learning, MAPoRL encourages the development of synergistic behaviors and improved generalization across diverse tasks. This approach addresses the limitations of independently trained agents, fostering more effective teamwork and problem-solving in multi-agent systems.