Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

In the wave of the programming world, OpenAI has once again attracted widespread attention with the launch of the GPT-5-Codex model designed specifically for programming. This version not only has the ...

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 ...

Recently, discussions around AI programminghave been heating up. This article will focus on how product managers can utilize AI IDEfor actual product development, exploring the deep evolution of AI ...

This is a preview. Log in through your library . Abstract A martingale approach to a dynamic program with general state and action spaces is taken. Several necessary and sufficient conditions are ...

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 ...

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 ...

Dan Zhang and Larry Weatherford. 2017. Dynamic Pricing for Network Revenue Management: A New Approach and Application in the Hotel Industry. INFORMS Journal on Computing, 29(1): 18-35. Dynamic pricing ...