We present an Approximate Dynamic Programming (ADP) approach for the multidimensional knapsack problem (MKP). We approximate the value function (a) using parametric and nonparametric methods and (b) ...

This is a preview. Log in through your library . Abstract The paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the original problem into a differential ...

After a mathematics win in July, Gemini 2.5 Deep Think has now scored a gold-medal level performance in competitive coding.

Gold medal winning performances of GPT-5 and Gemini 2.5 DeepThink at prestigious coding competition shows how far LLMs have come.

In this competition, the advanced version of “Gemini 2.5 Deep Seek” participated remotely online and solved 10 out of 12 ...

We introduce a novel approach to solving dynamic programming problems, such as those in many economic models, on a quantum annealer, a specialized device that performs combinatorial optimization.

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...