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) ...
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 ...
In this competition, the advanced version of “Gemini 2.5 Deep Seek” participated remotely online and solved 10 out of 12 ...
Recently, the 2025 RAICOM Robotics Developer Competition successfully concluded. Students from Qingdao Agricultural ...
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 ...
Gold medal winning performances of GPT-5 and Gemini 2.5 DeepThink at prestigious coding competition shows how far LLMs have come.
Gemini's solutions for this year's ICPC were scored by the event coordinators, but Google also turned Gemini 2.5 loose on ...
Gemini 2.5 Deep Think scores competitive coding gold in ‘profound leap’ for abstract problem-solving
After a mathematics win in July, Gemini 2.5 Deep Think has now scored a gold-medal level performance in competitive coding.
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 ...
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