World Finals held in Baku, Azerbaijan, Google's Gemini 2.5 Deep Think artificial intelligence system achieved a historic breakthrough. In this premier competition that brought together 139 top ...

As technology continues to evolve, the barrier to entry for programming seems to be gradually lowering. The launch of GPT-5-Codex not only provides programmers with more powerful ...

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

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 ...

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) ...

We present a novel linear program for the approximation of the dynamic programming cost-to-go function in high-dimensional stochastic control problems. LP approaches to approximate DP have typically ...

Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...