AI RESEARCH
Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning
arXiv CS.AI
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ArXi:2506.13113v2 Announce Type: replace This paper develops a novel multi-agent reinforcement learning (MARL) framework for reinsurance treaty bidding, addressing long-standing inefficiencies in traditional broker-mediated placement processes.