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

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of ...

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 ...