2 papers
stat.ML2024
Are causal effect estimations enough for optimal recommendations under multitreatment scenarios?
Sherly Alfonso-Sánchez, Kristina P. Sendova, Cristián Bravo
When making treatment selection decisions, it is essential to include a causal effect estimation analysis to compare potential outcomes under different treatments or controls, assi…
q-fin.GN2024
Optimizing Credit Limit Adjustments Under Adversarial Goals Using Reinforcement Learning
Sherly Alfonso-Sánchez, Jesús Solano, Alejandro Correa-Bahnsen +2
Reinforcement learning has been explored for many problems, from video games with deterministic environments to portfolio and operations management in which scenarios are stochasti…