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Research2026-06-13 · source-backed
arXiv 2606.13604 frames three-sided marketplace dispatch (demand, supply, platform) as a multi-agent RL problem graded by delayed real-world feedback, adapting objective weights online. If you're building orchestration agents whose actions only get scored long after they're taken, the reward-latency handling is the part to read.
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Shared entity: Multi / Same source domain / Shared topic / What happened next / Tension
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (agent, objective).
Shared entity: Multi / Same source domain / Shared topic / Earlier coverage / Downstream implication
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (agent, multi-agent).
Shared entity: Multi / Same source domain / Shared topic / Earlier coverage
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (agent, fram, multi-agent).
Shared entity: Multi / Same source domain / Shared topic / What happened next
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (agent, multi-agent).
Shared entity: Multi / Same source domain / Shared topic / Earlier coverage
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (agent, multi-agent).
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (agent, multi-agent).
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (agent, multi-agent).
Both cover Multi; reported by the same outlet (arxiv.org); overlapping topics (learn, multi-agent).