Note: The article usage is presented with a three- to four-day delay and will update daily once available. Due to ths delay, usage data will not appear immediately following publication. Citation ...

This repository is a Rust implementation of Dynamic Programming Description Language (DyPDL) and its solvers for Domain-Independent Dynamic Programming (DIDP). The ...

The 2025 Halloween Marketing Awards, plus insights on why these campaigns worked and the trends shaping brands’ seasonal strategy.

Here we define a Toy struct with a name field and create three instances representing Barbie and Superman toys. Each toy is initialized, and an array of pointers to these toy instances is created. The ...

Abstract: Reinforcement learning (RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming (ADP) within the control community. This paper reviews recent ...

Abstract: In recent years, the use of adaptive dynamic programming algorithm to solve the Nash equilibrium problem of multiplayer differential games has received extensive attention. Although ...

Dynamic programming is a powerful technique for solving optimization problems that can be divided into smaller sub-problems. The main idea of dynamic programming is to avoid recomputing the same ...

We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin ...