In reinforcement learning, an agent is usually fully autonomous and independent. It executes actions on the environment, but no other agent can control, explore or command this agent.
In multi-agent reinforcement learning, can one agent explore, command or communicate with other agents?
Would communication between agents somehow be different from the reciprocal execution of each other's actions between agents?