2 citations · 3 across the 4 of their papers we have counts for
4 papers
ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing
Stella C. Dong, James R. Finlay
Reinsurance treaty pricing must satisfy stringent regulatory standards, yet current quoting practices remain opaque and difficult to audit. We introduce ClauseLens, a clause-ground…
Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning
Stella C. Dong, James R. Finlay
This paper develops a novel multi-agent reinforcement learning (MARL) framework for reinsurance treaty bidding, addressing long-standing inefficiencies in traditional broker-mediat…
Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes
Stella C. Dong
We develop a reinforcement learning (RL) framework for insurance loss reserving that formulates reserve setting as a finite-horizon sequential decision problem under claim developm…
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning
Stella C. Dong
Reinsurance optimization is a cornerstone of solvency and capital management, yet traditional approaches often rely on restrictive distributional assumptions and static program des…