Multi-agent reinforcement learning: independent versus cooperative agents

The majority of Multi-Agent Reinforcement Learning (MARL) literature equates the cooperation of self-interested agents in mixed environments to the problem of social welfare maximization, allowing agents to arbitrarily share rewards and private ...

The application of reinforcement learning to multiagent systems has attracted recent attention. In a multiagent environment, whether one agent's action is good or not depends on the other agents' actions. In traditional reinforcement learning methods, ...

Holonic multi-agent system HMAS offers a promising approach to model complex systems. HMAS is based on self-similar entities defined in a holarchical organization. Although some models and frameworks have been proposed for holonic systems, there is no ...