The most widely adopted computer language in history, COBOL is now causing a host of problems. It's also dangerously difficult to remove.

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

The DSA Java section currently lacks problems on Dynamic Programming (DP) — one of the most important topics for competitive programming and interviews. This issue aims to add essential DP problems, ...

Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...

Master problem-solving with a simple, powerful 3-step approach that works across all languages and challenges. Heavy snow warning as up to 30 inches to strike: 'Stay indoors' 'SNL' mocks Trump over ...

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...

This project implements a Dynamic Programming (DP) solution for optimal inventory control, inspired by fundamental principles in Dimitri Bertsekas's work on "Lessons from AlphaZero for Optimal, Model ...

Abstract: In this article, we investigate the optimal control problem for an unknown linear time-invariant system. To solve this problem, a novel composite policy iteration algorithm based on adaptive ...