A new controlled testbed and coordination diagnostics show that multi-agent RL methods achieving similar returns can differ substantially in redundant assignments, diversity, and efficiency.
Spatial crowd- sourcing task allocation scheme for massive data with spatial heterogeneity
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Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
A new controlled testbed and coordination diagnostics show that multi-agent RL methods achieving similar returns can differ substantially in redundant assignments, diversity, and efficiency.