Evaluating the coordination of agents in multi-agent reinforcement learning

Abstract

The present study provides an in-depth analysis of inter-agent coordination through a complete exploration of agent behavioral dimensions. We evaluate the behavioral dimensions in a multi-agent predator-prey pursuit task where predator agent coordination necessarily exists due to a shared goal. We explore two conditions, one that is void of explicit coordination (fixed-strategy), and one that has the potential for explicit coordination (learning agents). This comprehensive evaluation of multi-agent behavioral dimensions provides theoretical evidence for true inter-agent coordination by a learning algorithm and the behavioral dimensions that agents coordinate in a cooperative task.