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 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 ...

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

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 ...

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.

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

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 ...