Abstract
In Multiagent Reinforcement Learning (MARL), a single scalar reinforcement signal is the sole reliable feedback that members of a team of learning agents can receive from the environment around them. Hence, the distribution of the environmental feedback signal among learning agents, also known as the “Multiagent Credit Assignment” (MCA), is among the most challenging problems in MARL.
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