Paulito Palmes

Title: Paulito Palmes: Patent Work in Decision Optimization

Introduction

Paulito Palmes is an inventor based in Dublin, Ireland. His patent work includes a computer-implemented approach to optimizing automated policy decisions using tabular data.

Latest Patents

The provided information lists one patent for Palmes: “Decision Optimization Utilizing Tabular Data.” The invention describes creating a dataset from a tabular database, with columns designated as state, action, and reward variables. It then uses these variables with a trained regression model to determine a candidate function approximator, Q. A reinforcement learning algorithm applies that approximator to learn a decision policy, which is used to estimate an expected reward. The approach is intended to support automated policy decision-making optimization.

Career Highlights

Palmes is associated with International Business Machines Corporation (IBM). His listed patent reflects work at the intersection of tabular data, regression modeling, and reinforcement learning.

Collaborations

Palmes is identified as a coworker of Radu Marinescu. The available information does not specify further details about their collaboration.

Conclusion

Paulito Palmes’s listed invention applies reinforcement learning and tabular data to automated decision-policy optimization, representing his contribution to innovation at IBM.